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:
Parce qu'elle trouve les hommes ennuyeux, Colette Marly, star du cinéma français en visite en Grande-Bretagne, déclare vouloir désormais vivre seule.
Postion	Tokenization
1	Parce
2	qu'
3	elle
4	trouve
5	les
6	hommes
7	ennuyeux
8	,
9	Colette
10	Marly
11	,
12	star
13	du
14	de
15	le
16	cinéma
17	français
18	en
19	visite
20	en
21	Grande-Bretagne
22	,
23	déclare
24	vouloir
25	désormais
26	vivre
27	seule
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Parce	ADV	4	mark
2	qu'	SCONJ	1	fixed
3	elle	PRON	4	nsubj
4	trouve	VERB	22	advcl
5	les	DET	6	det
6	hommes	NOUN	4	obj
7	ennuyeux	ADJ	4	xcomp:pred
8	,	PUNCT	4	punct
9	Colette	PROPN	22	nsubj
10	Marly	PROPN	9	flat:name
11	,	PUNCT	12	punct
12	star	NOUN	9	appos
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	cinéma	NOUN	12	nmod
17	français	ADJ	15	amod
18	en	ADP	18	case
19	visite	NOUN	12	nmod
20	en	ADP	20	case
21	Grande-Bretagne	PROPN	18	nmod
22	,	PUNCT	12	punct
23	déclare	VERB	0	root
24	vouloir	VERB	22	xcomp:obj
25	désormais	ADV	25	advmod
26	vivre	VERB	23	xcomp:obj
27	seule	ADJ	25	xcomp:pred
28	.	PUNCT	22	punct