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 voulu traverser et il n'a pas eu le temps, affirme la porte-parole de la Sûreté du Québec, Éloïse Cossette.
Postion	Tokenization
1	«
2	Il
3	a
4	voulu
5	traverser
6	et
7	il
8	n'
9	a
10	pas
11	eu
12	le
13	temps
14	,
15	affirme
16	la
17	porte-parole
18	de
19	la
20	Sûreté
21	du
22	de
23	le
24	Québec
25	,
26	Éloïse
27	Cossette
28	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	4	punct
2	Il	PRON	4	nsubj
3	a	AUX	4	aux:tense
4	voulu	VERB	0	root
5	traverser	VERB	4	xcomp:obj
6	et	CCONJ	11	cc
7	il	PRON	11	nsubj
8	n'	ADV	11	advmod
9	a	AUX	11	aux:tense
10	pas	ADV	11	advmod
11	eu	VERB	4	conj
12	le	DET	13	det
13	temps	NOUN	11	obj
14	,	PUNCT	4	punct
15	affirme	VERB	4	parataxis
16	la	DET	17	det
17	porte-parole	NOUN	15	nsubj
18	de	ADP	20	case
19	la	DET	20	det
20	Sûreté	NOUN	17	nmod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	Québec	PROPN	20	nmod
25	,	PUNCT	25	punct
26	Éloïse	PROPN	17	appos
27	Cossette	PROPN	25	flat:name
28	.	PUNCT	4	punct