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:
De surcroît, il s'agit du film où la « question du discours, de la parole retransmise est posée avec la plus grande virulence ».
Postion	Tokenization
1	De
2	surcroît
3	,
4	il
5	s'
6	agit
7	du
8	de
9	le
10	film
11	où
12	la
13	«
14	question
15	du
16	de
17	le
18	discours
19	,
20	de
21	la
22	parole
23	retransmise
24	est
25	posée
26	avec
27	la
28	plus
29	grande
30	virulence
31	»
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	2	case
2	surcroît	NOUN	6	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	6	expl:subj
5	s'	PRON	6	dep:comp
6	agit	VERB	0	root
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	film	NOUN	6	obl:arg
11	où	ADV	23	advmod
12	la	DET	13	det
13	«	PUNCT	13	punct
14	question	NOUN	23	nsubj:pass
15	du	_	None	_
16	de	ADP	16	case
17	le	DET	16	det
18	discours	NOUN	13	nmod
19	,	PUNCT	20	punct
20	de	ADP	20	case
21	la	DET	20	det
22	parole	NOUN	16	conj
23	retransmise	VERB	20	acl
24	est	AUX	23	aux:pass
25	posée	VERB	9	acl:relcl
26	avec	ADP	28	case
27	la	DET	28	det
28	plus	ADV	27	advmod
29	grande	ADJ	28	amod
30	virulence	NOUN	23	obl:mod
31	»	PUNCT	23	punct
32	.	PUNCT	6	punct