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 9 juillet 1842, il brigua avec succès la députation dans le 5e collège de la Côte-d'Or (Châtillon-sur-Seine), obtenant les voix de 65% des votants.
Postion	Tokenization
1	Le
2	9
3	juillet
4	1842
5	,
6	il
7	brigua
8	avec
9	succès
10	la
11	députation
12	dans
13	le
14	5e
15	collège
16	de
17	la
18	Côte-d'Or
19	(
20	Châtillon-sur-Seine
21	)
22	,
23	obtenant
24	les
25	voix
26	de
27	65
28	%
29	des
30	de
31	les
32	votants
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	9	NUM	7	obl:mod
3	juillet	NOUN	2	nmod
4	1842	NUM	3	nmod
5	,	PUNCT	2	punct
6	il	PRON	7	nsubj
7	brigua	VERB	0	root
8	avec	ADP	9	case
9	succès	NOUN	7	obl:mod
10	la	DET	11	det
11	députation	NOUN	7	obj
12	dans	ADP	15	case
13	le	DET	15	det
14	5e	ADJ	15	amod
15	collège	NOUN	7	obl:mod
16	de	ADP	18	case
17	la	DET	18	det
18	Côte-d'Or	PROPN	15	nmod
19	(	PUNCT	20	punct
20	Châtillon-sur-Seine	PROPN	18	nmod
21	)	PUNCT	20	punct
22	,	PUNCT	23	punct
23	obtenant	VERB	7	advcl
24	les	DET	25	det
25	voix	NOUN	23	obj
26	de	ADP	28	case
27	65	NUM	28	nummod
28	%	SYM	25	nmod
29	des	_	None	_
30	de	ADP	31	case
31	les	DET	31	det
32	votants	NOUN	28	nmod
33	.	PUNCT	7	punct