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:
Bien qu'il imitait la voix du comédien Jean Duceppe depuis déjà longtemps, le nom du personnage vient du film de Claude Jutra, Mon oncle Antoine.
Postion	Tokenization
1	Bien
2	qu'
3	il
4	imitait
5	la
6	voix
7	du
8	de
9	le
10	comédien
11	Jean
12	Duceppe
13	depuis
14	déjà
15	longtemps
16	,
17	le
18	nom
19	du
20	de
21	le
22	personnage
23	vient
24	du
25	de
26	le
27	film
28	de
29	Claude
30	Jutra
31	,
32	Mon
33	oncle
34	Antoine
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	4	mark
2	qu'	SCONJ	1	fixed
3	il	PRON	4	nsubj
4	imitait	VERB	21	advcl
5	la	DET	6	det
6	voix	NOUN	4	obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	comédien	NOUN	6	nmod
11	Jean	PROPN	9	appos
12	Duceppe	PROPN	10	flat:name
13	depuis	ADP	14	case
14	déjà	ADV	14	advmod
15	longtemps	ADV	4	obl:mod
16	,	PUNCT	4	punct
17	le	DET	17	det
18	nom	NOUN	21	nsubj
19	du	_	None	_
20	de	ADP	20	case
21	le	DET	20	det
22	personnage	NOUN	17	nmod
23	vient	VERB	0	root
24	du	_	None	_
25	de	ADP	24	case
26	le	DET	24	det
27	film	NOUN	21	obl:arg
28	de	ADP	26	case
29	Claude	PROPN	24	nmod
30	Jutra	PROPN	26	flat:name
31	,	PUNCT	30	punct
32	Mon	DET	30	det
33	oncle	NOUN	24	appos
34	Antoine	PROPN	30	appos
35	.	PUNCT	21	punct