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 qu'ils cultivent l'art de disparaître derrière les auteurs qu'ils défendent, les éditeurs ont une histoire parfois aussi palpitante que celle des personnages de roman.
Postion	Tokenization
1	Bien
2	qu'
3	ils
4	cultivent
5	l'
6	art
7	de
8	disparaître
9	derrière
10	les
11	auteurs
12	qu'
13	ils
14	défendent
15	,
16	les
17	éditeurs
18	ont
19	une
20	histoire
21	parfois
22	aussi
23	palpitante
24	que
25	celle
26	des
27	de
28	les
29	personnages
30	de
31	roman
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	4	mark
2	qu'	SCONJ	1	fixed
3	ils	PRON	4	nsubj
4	cultivent	VERB	18	advcl
5	l'	DET	6	det
6	art	NOUN	4	obj
7	de	ADP	8	mark
8	disparaître	VERB	6	acl
9	derrière	ADP	11	case
10	les	DET	11	det
11	auteurs	NOUN	8	obl:mod
12	qu'	PRON	14	obj
13	ils	PRON	14	nsubj
14	défendent	VERB	11	acl:relcl
15	,	PUNCT	11	punct
16	les	DET	17	det
17	éditeurs	PROPN	18	nsubj
18	ont	VERB	0	root
19	une	DET	20	det
20	histoire	NOUN	18	obj
21	parfois	ADV	23	advmod
22	aussi	ADV	23	advmod
23	palpitante	ADJ	20	amod
24	que	SCONJ	25	case
25	celle	PRON	22	obj
26	des	_	None	_
27	de	ADP	28	case
28	les	DET	28	det
29	personnages	NOUN	25	nmod
30	de	ADP	30	case
31	roman	NOUN	28	nmod
32	.	PUNCT	18	punct