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:
La portavoz de Bush, Karen Hughes, declaró hoy al periódico que el aspirante a la presidencia no recuerda haber dado esa respuesta durante la entrevista, realizada en Austin, capital de Texas.
Postion	Tokenization
1	La
2	portavoz
3	de
4	Bush
5	,
6	Karen
7	Hughes
8	,
9	declaró
10	hoy
11	al
12	periódico
13	que
14	el
15	aspirante
16	a
17	la
18	presidencia
19	no
20	recuerda
21	haber
22	dado
23	esa
24	respuesta
25	durante
26	la
27	entrevista
28	,
29	realizada
30	en
31	Austin
32	,
33	capital
34	de
35	Texas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	portavoz	NOUN	9	nsubj
3	de	ADP	4	case
4	Bush	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Karen	PROPN	2	appos
7	Hughes	PROPN	6	flat
8	,	PUNCT	6	punct
9	declaró	VERB	0	root
10	hoy	ADV	9	advmod
11	al	ADP	12	case
12	periódico	NOUN	9	iobj
13	que	SCONJ	20	mark
14	el	DET	15	det
15	aspirante	NOUN	20	nsubj
16	a	ADP	18	case
17	la	DET	18	det
18	presidencia	NOUN	15	nmod
19	no	ADV	20	advmod
20	recuerda	VERB	9	ccomp
21	haber	AUX	22	aux
22	dado	VERB	20	ccomp
23	esa	DET	24	det
24	respuesta	NOUN	22	obj
25	durante	ADP	27	case
26	la	DET	27	det
27	entrevista	NOUN	22	obl
28	,	PUNCT	29	punct
29	realizada	ADJ	27	amod
30	en	ADP	31	case
31	Austin	PROPN	29	obl
32	,	PUNCT	33	punct
33	capital	NOUN	31	appos
34	de	ADP	35	case
35	Texas	PROPN	33	nmod
36	.	PUNCT	9	punct