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:
Le témoignage de Mme Gaubert s'est avéré extrêmement compromettant pour son époux, dont elle est séparée, et pour d'autres protagonistes du dossier, comme l'intermédiaire franco-libanais Ziad Takieddine et l'ancien directeur de cabinet d'Edouard Balladur à Matignon, Nicolas Bazire.
Postion	Tokenization
1	Le
2	témoignage
3	de
4	Mme
5	Gaubert
6	s'
7	est
8	avéré
9	extrêmement
10	compromettant
11	pour
12	son
13	époux
14	,
15	dont
16	elle
17	est
18	séparée
19	,
20	et
21	pour
22	d'
23	autres
24	protagonistes
25	du
26	de
27	le
28	dossier
29	,
30	comme
31	l'
32	intermédiaire
33	franco-libanais
34	Ziad
35	Takieddine
36	et
37	l'
38	ancien
39	directeur
40	de
41	cabinet
42	d'
43	Edouard
44	Balladur
45	à
46	Matignon
47	,
48	Nicolas
49	Bazire
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	témoignage	NOUN	8	nsubj
3	de	ADP	4	case
4	Mme	NOUN	2	nmod
5	Gaubert	PROPN	4	flat:name
6	s'	PRON	8	dep:comp
7	est	AUX	8	aux:tense
8	avéré	VERB	0	root
9	extrêmement	ADV	8	advmod
10	compromettant	ADJ	8	xcomp:pred
11	pour	ADP	13	case
12	son	DET	13	det
13	époux	NOUN	10	obl:mod
14	,	PUNCT	18	punct
15	dont	PRON	18	obl:arg
16	elle	PRON	18	nsubj
17	est	AUX	18	aux:tense
18	séparée	VERB	13	acl:relcl
19	,	PUNCT	24	punct
20	et	CCONJ	24	cc
21	pour	ADP	24	case
22	d'	DET	24	det
23	autres	ADJ	24	amod
24	protagonistes	NOUN	13	conj
25	du	_	None	_
26	de	ADP	27	case
27	le	DET	27	det
28	dossier	NOUN	24	nmod
29	,	PUNCT	31	punct
30	comme	ADP	31	case
31	l'	DET	31	det
32	intermédiaire	NOUN	24	nmod
33	franco-libanais	ADJ	31	amod
34	Ziad	PROPN	31	appos
35	Takieddine	PROPN	33	flat:name
36	et	CCONJ	38	cc
37	l'	DET	38	det
38	ancien	ADJ	38	amod
39	directeur	NOUN	31	conj
40	de	ADP	40	case
41	cabinet	NOUN	38	nmod
42	d'	ADP	42	case
43	Edouard	PROPN	38	nmod
44	Balladur	PROPN	42	flat:name
45	à	ADP	45	case
46	Matignon	PROPN	38	nmod
47	,	PUNCT	47	punct
48	Nicolas	PROPN	38	appos
49	Bazire	PROPN	47	flat:name
50	.	PUNCT	8	punct