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:
Albert Gibello démissionne du Conseil municipal peu après et s'éloigne de la vie politique, l'ancien député Vincent Rolland prenant la tête de l'opposition municipale.
Postion	Tokenization
1	Albert
2	Gibello
3	démissionne
4	du
5	de
6	le
7	Conseil
8	municipal
9	peu
10	après
11	et
12	s'
13	éloigne
14	de
15	la
16	vie
17	politique
18	,
19	l'
20	ancien
21	député
22	Vincent
23	Rolland
24	prenant
25	la
26	tête
27	de
28	l'
29	opposition
30	municipale
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Albert	PROPN	3	nsubj
2	Gibello	PROPN	1	flat:name
3	démissionne	VERB	0	root
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	Conseil	NOUN	3	obl:arg
8	municipal	ADJ	6	amod
9	peu	ADV	9	advmod
10	après	ADV	3	advmod
11	et	CCONJ	12	cc
12	s'	PRON	12	obj
13	éloigne	VERB	3	conj
14	de	ADP	15	case
15	la	DET	15	det
16	vie	NOUN	12	obl:arg
17	politique	ADJ	15	amod
18	,	PUNCT	23	punct
19	l'	DET	20	det
20	ancien	ADJ	20	amod
21	député	NOUN	23	nsubj
22	Vincent	PROPN	20	appos
23	Rolland	PROPN	21	flat:name
24	prenant	VERB	3	advcl
25	la	DET	25	det
26	tête	NOUN	23	obj
27	de	ADP	28	case
28	l'	DET	28	det
29	opposition	NOUN	25	nmod
30	municipale	ADJ	28	amod
31	.	PUNCT	3	punct