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:
La masse corporelle peut avoir un impact sur les performances reproductives aussi bien des mâles que des femelles et n'est pas corrélée au rang dans la hiérarchie de dominance.
Postion	Tokenization
1	La
2	masse
3	corporelle
4	peut
5	avoir
6	un
7	impact
8	sur
9	les
10	performances
11	reproductives
12	aussi
13	bien
14	des
15	de
16	les
17	mâles
18	que
19	des
20	de
21	les
22	femelles
23	et
24	n'
25	est
26	pas
27	corrélée
28	au
29	à
30	le
31	rang
32	dans
33	la
34	hiérarchie
35	de
36	dominance
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	masse	NOUN	4	nsubj
3	corporelle	ADJ	2	amod
4	peut	VERB	0	root
5	avoir	VERB	4	xcomp:obj
6	un	DET	7	det
7	impact	NOUN	5	obj
8	sur	ADP	10	case
9	les	DET	10	det
10	performances	NOUN	5	obl:mod
11	reproductives	ADJ	10	amod
12	aussi	ADV	16	advmod
13	bien	ADV	12	fixed
14	des	_	None	_
15	de	ADP	16	case
16	les	DET	16	det
17	mâles	NOUN	10	nmod
18	que	SCONJ	20	mark
19	des	_	None	_
20	de	ADP	20	case
21	les	DET	20	det
22	femelles	NOUN	12	ccomp:obj
23	et	CCONJ	25	cc
24	n'	ADV	25	advmod
25	est	AUX	25	aux:tense
26	pas	ADV	25	advmod
27	corrélée	VERB	5	conj
28	au	_	None	_
29	à	ADP	28	case
30	le	DET	28	det
31	rang	NOUN	25	obl:arg
32	dans	ADP	31	case
33	la	DET	31	det
34	hiérarchie	NOUN	28	nmod
35	de	ADP	33	case
36	dominance	NOUN	31	nmod
37	.	PUNCT	4	punct