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:
Ya los sondeos indicaban también que su estrella eclipsaba totalmente a la del candidato del hasta ahora mayor partido opositor en Serbia, Vojislav Mihailovic, del Movimiento de Renovación (SPO).
Postion	Tokenization
1	Ya
2	los
3	sondeos
4	indicaban
5	también
6	que
7	su
8	estrella
9	eclipsaba
10	totalmente
11	a
12	la
13	del
14	candidato
15	del
16	hasta
17	ahora
18	mayor
19	partido
20	opositor
21	en
22	Serbia
23	,
24	Vojislav
25	Mihailovic
26	,
27	del
28	Movimiento
29	de
30	Renovación
31	(
32	SPO
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Ya	ADV	4	advmod
2	los	DET	3	det
3	sondeos	NOUN	4	nsubj
4	indicaban	VERB	0	root
5	también	ADV	4	advmod
6	que	SCONJ	9	mark
7	su	DET	8	det
8	estrella	NOUN	9	nsubj
9	eclipsaba	VERB	4	ccomp
10	totalmente	ADV	9	advmod
11	a	ADP	12	case
12	la	DET	9	det
13	del	ADP	12	case
14	candidato	NOUN	12	obj
15	del	ADP	19	case
16	hasta	ADP	17	case
17	ahora	ADV	19	advmod
18	mayor	ADJ	19	amod
19	partido	NOUN	14	nmod
20	opositor	NOUN	19	nmod
21	en	ADP	22	case
22	Serbia	PROPN	20	nmod
23	,	PUNCT	24	punct
24	Vojislav	PROPN	14	appos
25	Mihailovic	PROPN	24	flat
26	,	PUNCT	28	punct
27	del	ADP	28	case
28	Movimiento	PROPN	24	nmod
29	de	ADP	30	case
30	Renovación	PROPN	28	flat
31	(	PUNCT	32	punct
32	SPO	PROPN	28	flat
33	)	PUNCT	32	punct
34	.	PUNCT	4	punct