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:
En chimie des polymères, il peut être utilisé comme monomère participant à la formation de polymères réticulés (voire de gels réticulés selon les protocoles employés).
Postion	Tokenization
1	En
2	chimie
3	des
4	de
5	les
6	polymères
7	,
8	il
9	peut
10	être
11	utilisé
12	comme
13	monomère
14	participant
15	à
16	la
17	formation
18	de
19	polymères
20	réticulés
21	(
22	voire
23	de
24	gels
25	réticulés
26	selon
27	les
28	protocoles
29	employés
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	chimie	NOUN	8	obl:mod
3	des	_	None	_
4	de	ADP	5	case
5	les	DET	5	det
6	polymères	NOUN	2	nmod
7	,	PUNCT	2	punct
8	il	PRON	8	nsubj
9	peut	VERB	0	root
10	être	AUX	10	aux:pass
11	utilisé	VERB	8	xcomp:obj
12	comme	ADP	12	case
13	monomère	NOUN	10	obl:mod
14	participant	VERB	12	acl
15	à	ADP	16	case
16	la	DET	16	det
17	formation	NOUN	13	obl:arg
18	de	ADP	18	case
19	polymères	NOUN	16	nmod
20	réticulés	ADJ	18	amod
21	(	PUNCT	23	punct
22	voire	ADV	23	cc
23	de	ADP	23	case
24	gels	NOUN	18	conj
25	réticulés	ADJ	23	amod
26	selon	ADP	27	case
27	les	DET	27	det
28	protocoles	NOUN	23	nmod
29	employés	VERB	27	acl
30	)	PUNCT	23	punct
31	.	PUNCT	8	punct