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 n'y a pas de problème de banlieue et la banlieue, je ne sais pas ce que c'est », n'a cessé de répéter cet animateur passé par Radio Nova.
Postion	Tokenization
1	«
2	Il
3	n'
4	y
5	a
6	pas
7	de
8	problème
9	de
10	banlieue
11	et
12	la
13	banlieue
14	,
15	je
16	ne
17	sais
18	pas
19	ce
20	que
21	c'
22	est
23	»
24	,
25	n'
26	a
27	cessé
28	de
29	répéter
30	cet
31	animateur
32	passé
33	par
34	Radio
35	Nova
36	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	5	punct
2	Il	PRON	5	expl:subj
3	n'	ADV	5	advmod
4	y	PRON	5	dep:comp
5	a	VERB	0	root
6	pas	ADV	5	advmod
7	de	DET	8	det
8	problème	NOUN	5	obj
9	de	ADP	10	case
10	banlieue	NOUN	8	nmod
11	et	CCONJ	17	cc
12	la	DET	13	det
13	banlieue	NOUN	17	dislocated
14	,	PUNCT	17	punct
15	je	PRON	17	nsubj
16	ne	ADV	17	advmod
17	sais	VERB	5	conj
18	pas	ADV	17	advmod
19	ce	PRON	17	obj
20	que	PRON	19	acl:relcl
21	c'	PRON	20	nsubj
22	est	AUX	20	cop
23	»	PUNCT	5	punct
24	,	PUNCT	5	punct
25	n'	ADV	27	advmod
26	a	AUX	27	aux:tense
27	cessé	VERB	5	parataxis
28	de	ADP	29	mark
29	répéter	VERB	27	xcomp:obj
30	cet	DET	31	det
31	animateur	NOUN	27	nsubj
32	passé	VERB	31	acl
33	par	ADP	34	case
34	Radio	PROPN	32	obl:agent
35	Nova	PROPN	34	flat:name
36	.	PUNCT	5	punct