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:
TF1 est une chaîne privée, dont l'honnête PDG expliquait : « pour qu'un message publicitaire soit perçu, il faut que le cerveau du téléspectateur soit disponible.
Postion	Tokenization
1	TF1
2	est
3	une
4	chaîne
5	privée
6	,
7	dont
8	l'
9	honnête
10	PDG
11	expliquait
12	:
13	«
14	pour
15	qu'
16	un
17	message
18	publicitaire
19	soit
20	perçu
21	,
22	il
23	faut
24	que
25	le
26	cerveau
27	du
28	de
29	le
30	téléspectateur
31	soit
32	disponible
33	.
Position	Tokenization	UPOS	Head	Deprel
1	TF1	PROPN	4	nsubj
2	est	AUX	4	cop
3	une	DET	4	det
4	chaîne	NOUN	0	root
5	privée	ADJ	4	amod
6	,	PUNCT	11	punct
7	dont	PRON	10	nmod
8	l'	DET	10	det
9	honnête	ADJ	10	amod
10	PDG	PROPN	11	nsubj
11	expliquait	VERB	4	acl:relcl
12	:	PUNCT	23	punct
13	«	PUNCT	23	punct
14	pour	ADP	20	mark
15	qu'	SCONJ	20	mark
16	un	DET	17	det
17	message	NOUN	20	nsubj:pass
18	publicitaire	ADJ	17	amod
19	soit	AUX	20	aux:pass
20	perçu	VERB	23	advcl
21	,	PUNCT	20	punct
22	il	PRON	23	expl:subj
23	faut	VERB	11	ccomp:obj
24	que	SCONJ	31	mark
25	le	DET	26	det
26	cerveau	NOUN	31	nsubj
27	du	_	None	_
28	de	ADP	29	case
29	le	DET	29	det
30	téléspectateur	NOUN	26	nmod
31	soit	AUX	31	cop
32	disponible	ADJ	23	ccomp:obj
33	.	PUNCT	4	punct