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:
Cámpora obtient cependant aussi de bons résultats dans les quartiers huppés de Vicente López (39,9% des voix) et de San Isidro (47,2% des voix).
Postion	Tokenization
1	Cámpora
2	obtient
3	cependant
4	aussi
5	de
6	bons
7	résultats
8	dans
9	les
10	quartiers
11	huppés
12	de
13	Vicente
14	López
15	(
16	39,9
17	%
18	des
19	de
20	les
21	voix
22	)
23	et
24	de
25	San
26	Isidro
27	(
28	47,2
29	%
30	des
31	de
32	les
33	voix
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Cámpora	PROPN	2	nsubj
2	obtient	VERB	0	root
3	cependant	ADV	2	advmod
4	aussi	ADV	2	advmod
5	de	DET	7	det
6	bons	ADJ	7	amod
7	résultats	NOUN	2	obj
8	dans	ADP	10	case
9	les	DET	10	det
10	quartiers	NOUN	2	obl:mod
11	huppés	ADJ	10	amod
12	de	ADP	13	case
13	Vicente	PROPN	10	nmod
14	López	PROPN	13	flat:name
15	(	PUNCT	17	punct
16	39,9	NUM	17	nummod
17	%	SYM	13	nmod
18	des	_	None	_
19	de	ADP	20	case
20	les	DET	20	det
21	voix	NOUN	17	nmod
22	)	PUNCT	17	punct
23	et	CCONJ	24	cc
24	de	ADP	24	case
25	San	PROPN	13	conj
26	Isidro	PROPN	24	flat:name
27	(	PUNCT	28	punct
28	47,2	NUM	28	nummod
29	%	SYM	24	nmod
30	des	_	None	_
31	de	ADP	31	case
32	les	DET	31	det
33	voix	NOUN	28	nmod
34	)	PUNCT	28	punct
35	.	PUNCT	2	punct