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:
Voila, j'espère que ce commentaire pourra prouver un peu que Mendes est un lycée où on travaille, où on apprend mais surtout un lycée où on découvre.
Postion	Tokenization
1	Voila
2	,
3	j'
4	espère
5	que
6	ce
7	commentaire
8	pourra
9	prouver
10	un
11	peu
12	que
13	Mendes
14	est
15	un
16	lycée
17	où
18	on
19	travaille
20	,
21	où
22	on
23	apprend
24	mais
25	surtout
26	un
27	lycée
28	où
29	on
30	découvre
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Voila	VERB	4	parataxis
2	,	PUNCT	1	punct
3	j'	PRON	4	nsubj
4	espère	VERB	0	root
5	que	SCONJ	8	mark
6	ce	DET	7	det
7	commentaire	NOUN	8	nsubj
8	pourra	VERB	4	ccomp:obj
9	prouver	VERB	8	xcomp:obj
10	un	DET	9	advmod
11	peu	ADV	10	fixed
12	que	SCONJ	16	mark
13	Mendes	PROPN	16	nsubj
14	est	AUX	16	cop
15	un	DET	16	det
16	lycée	NOUN	9	ccomp:obj
17	où	ADV	19	advmod
18	on	PRON	19	nsubj
19	travaille	VERB	16	acl:relcl
20	,	PUNCT	23	punct
21	où	ADV	23	advmod
22	on	PRON	23	nsubj
23	apprend	VERB	19	conj
24	mais	CCONJ	27	cc
25	surtout	ADV	27	advmod
26	un	DET	27	det
27	lycée	NOUN	16	conj
28	où	ADV	30	advmod
29	on	PRON	30	nsubj
30	découvre	VERB	27	acl:relcl
31	.	PUNCT	4	punct