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:
Près de 680.000 lycéens y ont formulé au moins un vœu, la moyenne des internautes en ayant formulé cinq, classés par ordre de préférence.
Postion	Tokenization
1	Près
2	de
3	680.000
4	lycéens
5	y
6	ont
7	formulé
8	au
9	à
10	le
11	moins
12	un
13	vœu
14	,
15	la
16	moyenne
17	des
18	de
19	les
20	internautes
21	en
22	ayant
23	formulé
24	cinq
25	,
26	classés
27	par
28	ordre
29	de
30	préférence
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Près	ADV	7	nsubj
2	de	ADP	4	case
3	680.000	NUM	4	nummod
4	lycéens	NOUN	1	dep:comp
5	y	PRON	7	obl:mod
6	ont	AUX	7	aux:tense
7	formulé	VERB	0	root
8	au	_	None	_
9	à	ADP	12	advmod
10	le	DET	8	fixed
11	moins	ADV	8	fixed
12	un	DET	12	det
13	vœu	NOUN	7	obj
14	,	PUNCT	21	punct
15	la	DET	15	det
16	moyenne	NOUN	21	nsubj
17	des	_	None	_
18	de	ADP	18	case
19	les	DET	18	det
20	internautes	NOUN	15	nmod
21	en	PRON	22	nmod
22	ayant	AUX	21	aux:tense
23	formulé	VERB	7	advcl
24	cinq	NUM	21	obj
25	,	PUNCT	24	punct
26	classés	VERB	22	acl
27	par	ADP	26	case
28	ordre	NOUN	24	obl:mod
29	de	ADP	28	case
30	préférence	NOUN	26	nmod
31	.	PUNCT	7	punct