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:
Ayant succédé à Philippe Vasseur lors de sa démission, elle est députée de 1995 à 1997 de la Troisième circonscription du Pas-de-Calais et maire de Bellebrune depuis 1971.
Postion	Tokenization
1	Ayant
2	succédé
3	à
4	Philippe
5	Vasseur
6	lors
7	de
8	sa
9	démission
10	,
11	elle
12	est
13	députée
14	de
15	1995
16	à
17	1997
18	de
19	la
20	Troisième
21	circonscription
22	du
23	de
24	le
25	Pas-de-Calais
26	et
27	maire
28	de
29	Bellebrune
30	depuis
31	1971
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayant	AUX	2	aux:tense
2	succédé	VERB	13	advcl
3	à	ADP	4	case
4	Philippe	PROPN	2	obl:arg
5	Vasseur	PROPN	4	flat:name
6	lors	ADV	2	advmod
7	de	ADP	9	case
8	sa	DET	9	det
9	démission	NOUN	6	obl:arg
10	,	PUNCT	2	punct
11	elle	PRON	13	nsubj
12	est	AUX	13	cop
13	députée	NOUN	0	root
14	de	ADP	15	case
15	1995	NUM	13	nmod
16	à	ADP	17	case
17	1997	NUM	15	nmod
18	de	ADP	21	case
19	la	DET	21	det
20	Troisième	ADJ	21	amod
21	circonscription	NOUN	13	nmod
22	du	_	None	_
23	de	ADP	24	case
24	le	DET	24	det
25	Pas-de-Calais	PROPN	21	nmod
26	et	CCONJ	26	cc
27	maire	NOUN	13	conj
28	de	ADP	28	case
29	Bellebrune	PROPN	26	nmod
30	depuis	ADP	30	case
31	1971	NUM	13	obl:mod
32	.	PUNCT	13	punct