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:
Según un sondeo publicado ayer por el diario The Times, el 71% de los encuestados está en contra de la adopción del euro y sólo el 29% la acepta.
Postion	Tokenization
1	Según
2	un
3	sondeo
4	publicado
5	ayer
6	por
7	el
8	diario
9	The
10	Times
11	,
12	el
13	71%
14	de
15	los
16	encuestados
17	está
18	en
19	contra
20	de
21	la
22	adopción
23	del
24	euro
25	y
26	sólo
27	el
28	29%
29	la
30	acepta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	un	DET	3	det
3	sondeo	NOUN	22	obl
4	publicado	ADJ	3	amod
5	ayer	ADV	4	advmod
6	por	ADP	8	case
7	el	DET	8	det
8	diario	NOUN	4	obj
9	The	PROPN	8	appos
10	Times	PROPN	9	flat
11	,	PUNCT	3	punct
12	el	DET	13	det
13	71%	SYM	22	nsubj
14	de	ADP	16	case
15	los	DET	16	det
16	encuestados	NOUN	13	nmod
17	está	AUX	22	cop
18	en	ADP	22	case
19	contra	NOUN	18	fixed
20	de	ADP	18	fixed
21	la	DET	22	det
22	adopción	NOUN	0	root
23	del	ADP	24	case
24	euro	NOUN	22	nmod
25	y	CCONJ	30	cc
26	sólo	ADV	28	advmod
27	el	DET	28	det
28	29%	SYM	30	nsubj
29	la	PRON	30	obj
30	acepta	VERB	22	conj
31	.	PUNCT	22	punct