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:
Après le rétablissement du scrutin de liste, il avait figuré avec succès, aux élections du 4 octobre 1885, parmi les candidats conservateurs et royalistes du département de la Vendée ;
Postion	Tokenization
1	Après
2	le
3	rétablissement
4	du
5	de
6	le
7	scrutin
8	de
9	liste
10	,
11	il
12	avait
13	figuré
14	avec
15	succès
16	,
17	aux
18	à
19	les
20	élections
21	du
22	de
23	le
24	4
25	octobre
26	1885
27	,
28	parmi
29	les
30	candidats
31	conservateurs
32	et
33	royalistes
34	du
35	de
36	le
37	département
38	de
39	la
40	Vendée
41	;
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	le	DET	3	det
3	rétablissement	NOUN	12	obl:mod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	scrutin	NOUN	3	nmod
8	de	ADP	8	case
9	liste	NOUN	6	nmod
10	,	PUNCT	3	punct
11	il	PRON	12	nsubj
12	avait	AUX	12	aux:tense
13	figuré	VERB	0	root
14	avec	ADP	14	case
15	succès	NOUN	12	obl:mod
16	,	PUNCT	18	punct
17	aux	_	None	_
18	à	ADP	18	case
19	les	DET	18	det
20	élections	NOUN	12	obl:mod
21	du	_	None	_
22	de	ADP	21	case
23	le	DET	21	det
24	4	NUM	18	nmod
25	octobre	NOUN	21	nmod
26	1885	NUM	22	nmod
27	,	PUNCT	27	punct
28	parmi	ADP	27	case
29	les	DET	27	det
30	candidats	NOUN	12	obl:mod
31	conservateurs	ADJ	27	amod
32	et	CCONJ	30	cc
33	royalistes	ADJ	28	conj
34	du	_	None	_
35	de	ADP	33	case
36	le	DET	33	det
37	département	NOUN	27	nmod
38	de	ADP	36	case
39	la	DET	36	det
40	Vendée	PROPN	33	nmod
41	;	PUNCT	12	punct