As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
Pour comprendre le comportement d'un matériau polymère lors d'une sollicitation en traction par exemple, et donc prédire sa rupture, les polyméristes s'appuient sur des courbes décrivant l'évolution de la contrainte en fonction de la déformation.
Postion	Tokenization
1	Pour
2	comprendre
3	le
4	comportement
5	d'
6	un
7	matériau
8	polymère
9	lors
10	d'
11	une
12	sollicitation
13	en
14	traction
15	par
16	exemple
17	,
18	et
19	donc
20	prédire
21	sa
22	rupture
23	,
24	les
25	polyméristes
26	s'
27	appuient
28	sur
29	des
30	courbes
31	décrivant
32	l'
33	évolution
34	de
35	la
36	contrainte
37	en
38	fonction
39	de
40	la
41	déformation
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	comprendre	VERB	27	advcl
3	le	DET	4	det
4	comportement	NOUN	2	obj
5	d'	ADP	7	case
6	un	DET	7	det
7	matériau	NOUN	4	nmod
8	polymère	ADJ	7	amod
9	lors	ADV	4	advmod
10	d'	ADP	12	case
11	une	DET	12	det
12	sollicitation	NOUN	9	obl:arg
13	en	ADP	14	case
14	traction	NOUN	12	nmod
15	par	ADP	9	advmod
16	exemple	NOUN	15	fixed
17	,	PUNCT	20	punct
18	et	CCONJ	20	cc
19	donc	ADV	20	advmod
20	prédire	VERB	2	conj
21	sa	DET	22	det
22	rupture	NOUN	20	obj
23	,	PUNCT	2	punct
24	les	DET	25	det
25	polyméristes	NOUN	27	nsubj
26	s'	PRON	27	dep:comp
27	appuient	VERB	0	root
28	sur	ADP	30	case
29	des	DET	30	det
30	courbes	NOUN	27	obl:mod
31	décrivant	VERB	30	acl
32	l'	DET	33	det
33	évolution	NOUN	31	obj
34	de	ADP	36	case
35	la	DET	36	det
36	contrainte	NOUN	33	nmod
37	en	ADP	38	case
38	fonction	NOUN	33	nmod
39	de	ADP	41	case
40	la	DET	41	det
41	déformation	NOUN	38	nmod
42	.	PUNCT	27	punct