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:
C'est un ancien joueur de rugby à XV, qui a joué avec l'équipe de France et le Racing club de France, au poste de demi de mêlée (1,70 m pour 69 kg).
Postion	Tokenization
1	C'
2	est
3	un
4	ancien
5	joueur
6	de
7	rugby
8	à
9	XV
10	,
11	qui
12	a
13	joué
14	avec
15	l'
16	équipe
17	de
18	France
19	et
20	le
21	Racing
22	club
23	de
24	France
25	,
26	au
27	à
28	le
29	poste
30	de
31	demi
32	de
33	mêlée
34	(
35	1,70
36	m
37	pour
38	69
39	kg
40	)
41	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	5	nsubj
2	est	AUX	5	cop
3	un	DET	5	det
4	ancien	ADJ	5	amod
5	joueur	NOUN	0	root
6	de	ADP	7	case
7	rugby	NOUN	5	nmod
8	à	ADP	9	case
9	XV	NUM	7	nmod
10	,	PUNCT	13	punct
11	qui	PRON	13	nsubj
12	a	AUX	13	aux:tense
13	joué	VERB	5	acl:relcl
14	avec	ADP	16	case
15	l'	DET	16	det
16	équipe	NOUN	13	obl:arg
17	de	ADP	18	case
18	France	PROPN	16	nmod
19	et	CCONJ	21	cc
20	le	DET	21	det
21	Racing	PROPN	16	conj
22	club	NOUN	21	appos
23	de	ADP	24	case
24	France	PROPN	22	nmod
25	,	PUNCT	28	punct
26	au	_	None	_
27	à	ADP	28	case
28	le	DET	28	det
29	poste	NOUN	13	conj
30	de	ADP	30	case
31	demi	NOUN	28	nmod
32	de	ADP	32	case
33	mêlée	NOUN	30	nmod
34	(	PUNCT	35	punct
35	1,70	NUM	35	nummod
36	m	NOUN	5	appos
37	pour	ADP	38	case
38	69	NUM	38	nummod
39	kg	NOUN	35	nmod
40	)	PUNCT	35	punct
41	.	PUNCT	5	punct