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:
Professionnel de 1987 à 1995, il a notamment été vainqueur d'étape du Tour d'Espagne 1988 et du Tour de France 1988.
Postion	Tokenization
1	Professionnel
2	de
3	1987
4	à
5	1995
6	,
7	il
8	a
9	notamment
10	été
11	vainqueur
12	d'
13	étape
14	du
15	de
16	le
17	Tour
18	d'
19	Espagne
20	1988
21	et
22	du
23	de
24	le
25	Tour
26	de
27	France
28	1988
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Professionnel	NOUN	11	advcl
2	de	ADP	3	case
3	1987	NUM	1	nmod
4	à	ADP	5	case
5	1995	NUM	3	nmod
6	,	PUNCT	1	punct
7	il	PRON	11	nsubj
8	a	AUX	11	aux:tense
9	notamment	ADV	11	advmod
10	été	AUX	11	cop
11	vainqueur	NOUN	0	root
12	d'	ADP	13	case
13	étape	NOUN	11	nmod
14	du	_	None	_
15	de	ADP	16	case
16	le	DET	16	det
17	Tour	NOUN	13	nmod
18	d'	ADP	18	case
19	Espagne	PROPN	16	nmod
20	1988	NUM	16	nmod
21	et	CCONJ	23	cc
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	Tour	NOUN	16	conj
26	de	ADP	25	case
27	France	PROPN	23	nmod
28	1988	NUM	23	nmod
29	.	PUNCT	11	punct