---
title: At the Tokyo Olympics, Simone Biles withdrew from events, saying she… — Famous athletes and what being a professional ta… · tree and pragmatics
description: At the Tokyo Olympics, Simone Biles withdrew from events, saying she had to look after her mental health and had «the twisties», losing track of where she was in the air; at Paris 2024 she won 3 golds and a silver. Who acts: Simone Biles, Biles, air. A sentence of the lesson «Famous athletes and wha
---

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# Famous athletes and what being a professional takes, sentence 14

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At the Tokyo Olympics, Simone Biles withdrew from events, saying she had to look after her mental health and had «the twisties», losing track of where she was in the air; at Paris 2024 she won 3 golds and a silver.

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**Who acts:** Simone Biles, Biles, air · **What happens:** withdraw, say, have, look, lose, be · **To what, where:** Tokyo Olympics, twisties, track, air, 3 golds, Paris · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «Famous athletes and what being a professional takes» of the medicine course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Simone Biles, Biles, air), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:medicine:063-famous-athletes-and-what-being-a-professional-takes.lesson:14
# text = At the Tokyo Olympics, Simone Biles withdrew from events, saying she had to look after her mental health and had «the twisties», losing track of where she was in the air; at Paris 2024 she won 3 golds and a silver.
# source = school lesson (ours)
# course = medicine
# lesson = 063-famous-athletes-and-what-being-a-professional-takes.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1
1	At	at	ADP	IN	_	4	case	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
3	Tokyo	Tokyo	PROPN	NNP	Number=Sing	4	compound	_	_
4	Olympics	Olympics	PROPN	NNPS	Number=Plur	8	obl	_	_
5	,	,	PUNCT	,	_	4	punct	_	_
6	Simone	Simone	PROPN	NNP	Number=Sing	7	compound	_	_
7	Biles	Biles	PROPN	NNP	Number=Sing	8	nsubj	_	_
8	withdrew	withdraw	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
9	from	from	ADP	IN	_	10	case	_	_
10	events	event	NOUN	NNS	Number=Plur	8	obl	_	_
11	,	,	PUNCT	,	_	12	punct	_	_
12	saying	say	VERB	VBG	Tense=Pres|VerbForm=Part	8	advcl	_	_
13	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	14	nsubj	_	_
14	had	have	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	12	ccomp	_	_
15	to	to	PART	TO	_	16	mark	_	_
16	look	look	VERB	VB	VerbForm=Inf	14	xcomp	_	_
17	after	after	ADP	IN	_	20	case	_	_
18	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	20	nmod:poss	_	_
19	mental	mental	ADJ	JJ	Degree=Pos	20	amod	_	_
20	health	health	NOUN	NN	Number=Sing	16	obl	_	_
21	and	and	CCONJ	CC	_	22	cc	_	_
22	had	have	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	14	conj	_	_
23	«	«	PUNCT	``	_	25	punct	_	_
24	the	the	DET	DT	Definite=Def|PronType=Art	25	det	_	_
25	twisties	twisty	NOUN	NNS	Number=Plur	22	obj	_	_
26	»	»	PUNCT	''	_	25	punct	_	Agree=R6-punct-agree|Haiku=28:punct
27	,	,	PUNCT	,	_	28	punct	_	_
28	losing	lose	VERB	VBG	Tense=Pres|VerbForm=Part	22	advcl	_	Agree=R5-strong|Haiku=8:advcl
29	track	track	NOUN	NN	Number=Sing	28	obj	_	_
30	of	of	ADP	IN	_	31	case	_	_
31	where	where	ADV	WRB	PronType=Rel	29	nmod	_	_
32	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	36	nsubj	_	_
33	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	36	cop	_	_
34	in	in	ADP	IN	_	36	case	_	_
35	the	the	DET	DT	Definite=Def|PronType=Art	36	det	_	_
36	air	air	NOUN	NN	Number=Sing	31	nsubj	_	_
37	;	;	PUNCT	,	_	42	punct	_	_
38	at	at	ADP	IN	_	39	case	_	_
39	Paris	Paris	PROPN	NNP	Number=Sing	42	obl	_	_
40	2024	2024	NUM	CD	NumForm=Digit|NumType=Card	39	flat	_	_
41	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	42	nsubj	_	_
42	won	win	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	28	conj	_	_
43	3	3	NUM	CD	NumForm=Digit|NumType=Card	44	nummod	_	_
44	golds	gold	NOUN	NNS	Number=Plur	42	obj	_	_
45	and	and	CCONJ	CC	_	47	cc	_	_
46	a	a	DET	DT	Definite=Ind|PronType=Art	47	det	_	_
47	silver	silver	NOUN	NN	Number=Sing	44	conj	_	_
48	.	.	PUNCT	.	_	8	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **withdraw** | past | Simone Biles |  |  | the Tokyo Olympics |  | from events | vn escape-51.1-1 «NP V PP.initial\_location»: agent=Theme from event=Initial\_Location |
| 2 | **say** *speech: assert* | gerund | Simone Biles *not said here* |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 3 | **have** | past | Biles |  |  |  |  |  | tree rules |
| 4 | **look** | to-infinitive | Biles *not said here* |  |  |  | after Biles's mental health |  | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |
| 5 | **have** | past | Biles *not said here* | the twisties |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent twisty=Patient |
| 6 | **lose** | gerund | Biles *not said here* | track |  |  |  |  | vn succeed-74-3-1 «NP V NP»: agent=Agent track=Eventuality |
| 7 | **is** | past | Biles |  |  | the air |  |  | tree rules |
| 8 | **win** | past | air | 3 golds and a silver |  | Paris |  |  | vn get-13.5.1 «NP V NP PP.source NP.asset»: agent=Agent gold=Theme at paris=Asset |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:medicine:063-famous-athletes-and-what-being-a-professional-takes.lesson:14`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×1. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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