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:
Une réponse possible au second argument est que les informations autres que le score lui-même seraient vraisemblablement fournies par la méthode utilisée pour accorder et retirer du whuffie--comme par exemple, comment une personne a obtenu chacun des points qui constituent son score.
Postion	Tokenization
1	Une
2	réponse
3	possible
4	au
5	à
6	le
7	second
8	argument
9	est
10	que
11	les
12	informations
13	autres
14	que
15	le
16	score
17	lui-même
18	seraient
19	vraisemblablement
20	fournies
21	par
22	la
23	méthode
24	utilisée
25	pour
26	accorder
27	et
28	retirer
29	du
30	whuffie
31	--
32	comme
33	par
34	exemple
35	,
36	comment
37	une
38	personne
39	a
40	obtenu
41	chacun
42	des
43	de
44	les
45	points
46	qui
47	constituent
48	son
49	score
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	réponse	NOUN	8	nsubj
3	possible	ADJ	2	amod
4	au	_	None	_
5	à	ADP	7	case
6	le	DET	7	det
7	second	ADJ	7	amod
8	argument	NOUN	2	nmod
9	est	VERB	0	root
10	que	SCONJ	19	mark
11	les	DET	11	det
12	informations	NOUN	19	nsubj:pass
13	autres	ADJ	11	amod
14	que	SCONJ	15	case
15	le	DET	15	det
16	score	NOUN	12	obl:arg
17	lui-même	PRON	15	nmod
18	seraient	AUX	19	aux:pass
19	vraisemblablement	ADV	19	advmod
20	fournies	VERB	8	ccomp:pred
21	par	ADP	22	case
22	la	DET	22	det
23	méthode	NOUN	19	obl:arg
24	utilisée	VERB	22	acl
25	pour	ADP	25	mark
26	accorder	VERB	23	advcl
27	et	CCONJ	27	cc
28	retirer	VERB	25	conj
29	du	DET	29	det
30	whuffie	NOUN	25	obj
31	--	PUNCT	39	punct
32	comme	SCONJ	39	mark
33	par	ADP	39	advmod
34	exemple	NOUN	32	fixed
35	,	PUNCT	32	punct
36	comment	ADV	39	advmod
37	une	DET	37	det
38	personne	NOUN	39	nsubj
39	a	AUX	39	aux:tense
40	obtenu	VERB	19	advcl
41	chacun	PRON	39	obj
42	des	_	None	_
43	de	ADP	43	case
44	les	DET	43	det
45	points	NOUN	40	nmod
46	qui	PRON	45	nsubj
47	constituent	VERB	43	acl:relcl
48	son	DET	47	det
49	score	NOUN	45	obj
50	.	PUNCT	8	punct