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:
Durante una entrevista con el diario "Dallas Morning News" realizada hace dos años en la sede del gobierno de Texas, fue preguntado acerca de si había sido detenido en alguna otra ocasión.
Postion	Tokenization
1	Durante
2	una
3	entrevista
4	con
5	el
6	diario
7	"
8	Dallas
9	Morning
10	News
11	"
12	realizada
13	hace
14	dos
15	años
16	en
17	la
18	sede
19	del
20	gobierno
21	de
22	Texas
23	,
24	fue
25	preguntado
26	acerca
27	de
28	si
29	había
30	sido
31	detenido
32	en
33	alguna
34	otra
35	ocasión
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	3	case
2	una	DET	3	det
3	entrevista	NOUN	25	obl
4	con	ADP	6	case
5	el	DET	6	det
6	diario	NOUN	3	nmod
7	"	PUNCT	8	punct
8	Dallas	PROPN	6	appos
9	Morning	PROPN	8	flat
10	News	PROPN	8	flat
11	"	PUNCT	8	punct
12	realizada	ADJ	3	amod
13	hace	VERB	12	advcl
14	dos	NUM	15	nummod
15	años	NOUN	13	obj
16	en	ADP	18	case
17	la	DET	18	det
18	sede	NOUN	12	obl
19	del	ADP	20	case
20	gobierno	NOUN	18	nmod
21	de	ADP	22	case
22	Texas	PROPN	20	nmod
23	,	PUNCT	3	punct
24	fue	AUX	25	aux
25	preguntado	VERB	0	root
26	acerca	ADV	31	mark
27	de	ADP	26	fixed
28	si	SCONJ	31	mark
29	había	AUX	31	aux
30	sido	AUX	31	aux
31	detenido	VERB	25	advcl
32	en	ADP	35	case
33	alguna	DET	35	det
34	otra	DET	33	det
35	ocasión	NOUN	31	obl
36	.	PUNCT	25	punct