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 sûr, on sait plus ou moins ce que notre rencontre musicale va donner, mais nous laissons une grande place à l'improvisation, ça donne un autre caractère au spectacle », affirme Didier Lockwood, qui en fera de même lors de la soirée d'ouverture avec Marie-Claude Pietragalla.
Postion	Tokenization
1	«
2	Bien
3	sûr
4	,
5	on
6	sait
7	plus
8	ou
9	moins
10	ce
11	que
12	notre
13	rencontre
14	musicale
15	va
16	donner
17	,
18	mais
19	nous
20	laissons
21	une
22	grande
23	place
24	à
25	l'
26	improvisation
27	,
28	ça
29	donne
30	un
31	autre
32	caractère
33	au
34	à
35	le
36	spectacle
37	»
38	,
39	affirme
40	Didier
41	Lockwood
42	,
43	qui
44	en
45	fera
46	de
47	même
48	lors
49	de
50	la
51	soirée
52	d'
53	ouverture
54	avec
55	Marie-Claude
56	Pietragalla
57	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	6	punct
2	Bien	ADV	6	advmod
3	sûr	ADJ	2	fixed
4	,	PUNCT	2	punct
5	on	PRON	6	nsubj
6	sait	VERB	0	root
7	plus	ADV	6	advmod
8	ou	CCONJ	7	fixed
9	moins	ADV	7	fixed
10	ce	PRON	6	obj
11	que	PRON	16	obj
12	notre	DET	13	det
13	rencontre	NOUN	15	nsubj
14	musicale	ADJ	13	amod
15	va	VERB	10	acl:relcl
16	donner	VERB	15	xcomp:obj
17	,	PUNCT	20	punct
18	mais	CCONJ	20	cc
19	nous	PRON	20	nsubj
20	laissons	VERB	6	conj
21	une	DET	23	det
22	grande	ADJ	23	amod
23	place	NOUN	20	obj
24	à	ADP	26	case
25	l'	DET	26	det
26	improvisation	NOUN	20	obl:arg
27	,	PUNCT	29	punct
28	ça	PRON	29	nsubj
29	donne	VERB	20	parataxis
30	un	DET	32	det
31	autre	ADJ	32	amod
32	caractère	NOUN	29	obj
33	au	_	None	_
34	à	ADP	35	case
35	le	DET	35	det
36	spectacle	NOUN	32	nmod
37	»	PUNCT	6	punct
38	,	PUNCT	6	punct
39	affirme	VERB	6	parataxis
40	Didier	PROPN	38	nsubj
41	Lockwood	PROPN	39	flat:name
42	,	PUNCT	44	punct
43	qui	PRON	44	nsubj
44	en	PRON	44	obj
45	fera	VERB	39	acl:relcl
46	de	ADP	44	advmod
47	même	ADV	45	fixed
48	lors	ADV	44	advmod
49	de	ADP	50	case
50	la	DET	50	det
51	soirée	NOUN	47	obl:arg
52	d'	ADP	52	case
53	ouverture	NOUN	50	nmod
54	avec	ADP	54	case
55	Marie-Claude	PROPN	50	nmod
56	Pietragalla	PROPN	54	flat:name
57	.	PUNCT	6	punct