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:
En una encuesta sobre intención de voto para las elecciones municipales de octubre, publicada a finales del año pasado, Collor apareció en quinto lugar en las preferencias de los paulistanos.
Postion	Tokenization
1	En
2	una
3	encuesta
4	sobre
5	intención
6	de
7	voto
8	para
9	las
10	elecciones
11	municipales
12	de
13	octubre
14	,
15	publicada
16	a
17	finales
18	del
19	año
20	pasado
21	,
22	Collor
23	apareció
24	en
25	quinto
26	lugar
27	en
28	las
29	preferencias
30	de
31	los
32	paulistanos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	una	DET	3	det
3	encuesta	NOUN	23	obl
4	sobre	ADP	5	case
5	intención	NOUN	3	nmod
6	de	ADP	7	case
7	voto	NOUN	5	nmod
8	para	ADP	10	case
9	las	DET	10	det
10	elecciones	NOUN	3	nmod
11	municipales	ADJ	10	amod
12	de	ADP	13	case
13	octubre	NOUN	10	nmod
14	,	PUNCT	15	punct
15	publicada	ADJ	3	amod
16	a	ADP	17	case
17	finales	NOUN	15	obl
18	del	ADP	19	case
19	año	NOUN	17	nmod
20	pasado	ADJ	19	amod
21	,	PUNCT	3	punct
22	Collor	PROPN	23	nsubj
23	apareció	VERB	0	root
24	en	ADP	26	case
25	quinto	ADJ	26	amod
26	lugar	NOUN	23	obl
27	en	ADP	29	case
28	las	DET	29	det
29	preferencias	NOUN	26	nmod
30	de	ADP	32	case
31	los	DET	32	det
32	paulistanos	NOUN	29	nmod
33	.	PUNCT	23	punct