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:
Il a notamment gagné une étape du Tour d'Italie 2010, une étape du Tour d'Espagne 2008 et terminé troisième de Gand-Wevelgem la même année.
Postion	Tokenization
1	Il
2	a
3	notamment
4	gagné
5	une
6	étape
7	du
8	de
9	le
10	Tour
11	d'
12	Italie
13	2010
14	,
15	une
16	étape
17	du
18	de
19	le
20	Tour
21	d'
22	Espagne
23	2008
24	et
25	terminé
26	troisième
27	de
28	Gand-Wevelgem
29	la
30	même
31	année
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	4	nsubj
2	a	AUX	4	aux:tense
3	notamment	ADV	4	advmod
4	gagné	VERB	0	root
5	une	DET	6	det
6	étape	NOUN	4	obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	Tour	PROPN	6	nmod
11	d'	ADP	11	case
12	Italie	PROPN	9	nmod
13	2010	NUM	9	nmod
14	,	PUNCT	15	punct
15	une	DET	15	det
16	étape	NOUN	6	conj
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	Tour	PROPN	15	nmod
21	d'	ADP	20	case
22	Espagne	PROPN	18	nmod
23	2008	NUM	18	nmod
24	et	CCONJ	23	cc
25	terminé	VERB	4	conj
26	troisième	ADJ	23	xcomp:pred
27	de	ADP	26	case
28	Gand-Wevelgem	PROPN	24	obl:mod
29	la	DET	29	det
30	même	ADJ	29	amod
31	année	NOUN	23	obl:mod
32	.	PUNCT	4	punct