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:
Annette Masson, présidente de l'Association Tourisme et Handicap, a relativisé cette annonce en rappelant qu'il existe depuis 2001 un label « Tourisme et Handicap ».
Postion	Tokenization
1	Annette
2	Masson
3	,
4	présidente
5	de
6	l'
7	Association
8	Tourisme
9	et
10	Handicap
11	,
12	a
13	relativisé
14	cette
15	annonce
16	en
17	rappelant
18	qu'
19	il
20	existe
21	depuis
22	2001
23	un
24	label
25	«
26	Tourisme
27	et
28	Handicap
29	»
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Annette	PROPN	13	nsubj
2	Masson	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	présidente	NOUN	1	appos
5	de	ADP	7	case
6	l'	DET	7	det
7	Association	NOUN	4	nmod
8	Tourisme	NOUN	7	appos
9	et	CCONJ	10	cc
10	Handicap	NOUN	8	conj
11	,	PUNCT	4	punct
12	a	AUX	13	aux:tense
13	relativisé	VERB	0	root
14	cette	DET	15	det
15	annonce	NOUN	13	obj
16	en	ADP	17	mark
17	rappelant	VERB	13	advcl
18	qu'	SCONJ	20	mark
19	il	PRON	20	expl:subj
20	existe	VERB	17	ccomp:obj
21	depuis	ADP	22	case
22	2001	NUM	20	obl:mod
23	un	DET	24	det
24	label	NOUN	20	nsubj
25	«	PUNCT	26	punct
26	Tourisme	PROPN	24	appos
27	et	CCONJ	28	cc
28	Handicap	PROPN	26	conj
29	»	PUNCT	26	punct
30	.	PUNCT	13	punct