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:
On compte là, par exemple, le nombre N de réponses « oui » dans un échantillon de population, lors d'un sondage, afin d'en déduire la proportion de « oui ».
Postion	Tokenization
1	On
2	compte
3	là
4	,
5	par
6	exemple
7	,
8	le
9	nombre
10	N
11	de
12	réponses
13	«
14	oui
15	»
16	dans
17	un
18	échantillon
19	de
20	population
21	,
22	lors
23	d'
24	un
25	sondage
26	,
27	afin
28	d'
29	en
30	déduire
31	la
32	proportion
33	de
34	«
35	oui
36	»
37	.
Position	Tokenization	UPOS	Head	Deprel
1	On	PRON	2	nsubj
2	compte	VERB	0	root
3	là	ADV	2	advmod
4	,	PUNCT	5	punct
5	par	ADP	2	advmod
6	exemple	NOUN	5	fixed
7	,	PUNCT	5	punct
8	le	DET	9	det
9	nombre	NOUN	2	obj
10	N	X	9	appos
11	de	ADP	12	case
12	réponses	NOUN	9	nmod
13	«	PUNCT	14	punct
14	oui	NOUN	12	appos
15	»	PUNCT	14	punct
16	dans	ADP	18	case
17	un	DET	18	det
18	échantillon	NOUN	9	nmod
19	de	ADP	20	case
20	population	NOUN	18	nmod
21	,	PUNCT	22	punct
22	lors	ADV	2	advmod
23	d'	ADP	25	case
24	un	DET	25	det
25	sondage	NOUN	22	obl:arg
26	,	PUNCT	27	punct
27	afin	ADV	2	advmod
28	d'	ADP	30	mark
29	en	PRON	32	nmod
30	déduire	VERB	27	ccomp:obj
31	la	DET	32	det
32	proportion	NOUN	30	obj
33	de	ADP	35	case
34	«	PUNCT	35	punct
35	oui	NOUN	32	nmod
36	»	PUNCT	35	punct
37	.	PUNCT	2	punct