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:
Sur Facebook, hier soir, le spécialiste en marketing François Descarie a écrit que « pour une fois, le match a été plus intéressant que les pubs ».
Postion	Tokenization
1	Sur
2	Facebook
3	,
4	hier
5	soir
6	,
7	le
8	spécialiste
9	en
10	marketing
11	François
12	Descarie
13	a
14	écrit
15	que
16	«
17	pour
18	une
19	fois
20	,
21	le
22	match
23	a
24	été
25	plus
26	intéressant
27	que
28	les
29	pubs
30	»
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Sur	ADP	2	case
2	Facebook	PROPN	14	obl:mod
3	,	PUNCT	2	punct
4	hier	ADV	14	advmod
5	soir	NOUN	4	obl:mod
6	,	PUNCT	4	punct
7	le	DET	8	det
8	spécialiste	NOUN	14	nsubj
9	en	ADP	10	case
10	marketing	NOUN	8	nmod
11	François	PROPN	8	appos
12	Descarie	PROPN	11	flat:name
13	a	AUX	14	aux:tense
14	écrit	VERB	0	root
15	que	SCONJ	26	mark
16	«	PUNCT	26	punct
17	pour	ADP	19	case
18	une	DET	19	det
19	fois	NOUN	26	obl:mod
20	,	PUNCT	19	punct
21	le	DET	22	det
22	match	NOUN	26	nsubj
23	a	AUX	26	aux:tense
24	été	AUX	26	cop
25	plus	ADV	26	advmod
26	intéressant	ADJ	14	ccomp:obj
27	que	SCONJ	29	case
28	les	DET	29	det
29	pubs	NOUN	25	obj
30	»	PUNCT	26	punct
31	.	PUNCT	14	punct