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:
De nouvelles fonctions des protéines chaperons sont continuellement découvertes, comme l'assistance à la dégradation protéique et la réponse aux maladies liées à l'agrégation protéique (voir prion).
Postion	Tokenization
1	De
2	nouvelles
3	fonctions
4	des
5	de
6	les
7	protéines
8	chaperons
9	sont
10	continuellement
11	découvertes
12	,
13	comme
14	l'
15	assistance
16	à
17	la
18	dégradation
19	protéique
20	et
21	la
22	réponse
23	aux
24	à
25	les
26	maladies
27	liées
28	à
29	l'
30	agrégation
31	protéique
32	(
33	voir
34	prion
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	De	DET	3	det
2	nouvelles	ADJ	3	amod
3	fonctions	NOUN	10	nsubj:pass
4	des	_	None	_
5	de	ADP	6	case
6	les	DET	6	det
7	protéines	NOUN	3	nmod
8	chaperons	NOUN	6	appos
9	sont	AUX	10	aux:pass
10	continuellement	ADV	10	advmod
11	découvertes	VERB	0	root
12	,	PUNCT	14	punct
13	comme	ADP	14	case
14	l'	DET	14	det
15	assistance	NOUN	10	obl:mod
16	à	ADP	17	case
17	la	DET	17	det
18	dégradation	NOUN	14	nmod
19	protéique	ADJ	17	amod
20	et	CCONJ	21	cc
21	la	DET	21	det
22	réponse	NOUN	14	conj
23	aux	_	None	_
24	à	ADP	24	case
25	les	DET	24	det
26	maladies	NOUN	21	nmod
27	liées	VERB	24	acl
28	à	ADP	28	case
29	l'	DET	28	det
30	agrégation	NOUN	25	obl:arg
31	protéique	ADJ	28	amod
32	(	PUNCT	31	punct
33	voir	VERB	25	parataxis
34	prion	NOUN	31	obj
35	)	PUNCT	31	punct
36	.	PUNCT	10	punct