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:
Explicó que nada más acceder a la presidencia del Parlamento vasco recibió una llamada de Mayor en la que le informaba que su nombre aparecía en documentación incautada a ETA.
Postion	Tokenization
1	Explicó
2	que
3	nada
4	más
5	acceder
6	a
7	la
8	presidencia
9	del
10	Parlamento
11	vasco
12	recibió
13	una
14	llamada
15	de
16	Mayor
17	en
18	la
19	que
20	le
21	informaba
22	que
23	su
24	nombre
25	aparecía
26	en
27	documentación
28	incautada
29	a
30	ETA
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Explicó	VERB	0	root
2	que	SCONJ	12	mark
3	nada	NOUN	12	advmod
4	más	ADV	3	fixed
5	acceder	VERB	3	advcl
6	a	ADP	8	case
7	la	DET	8	det
8	presidencia	NOUN	5	obj
9	del	ADP	10	case
10	Parlamento	PROPN	8	nmod
11	vasco	ADJ	10	amod
12	recibió	VERB	1	ccomp
13	una	DET	14	det
14	llamada	NOUN	12	obj
15	de	ADP	16	case
16	Mayor	PROPN	14	nmod
17	en	ADP	19	case
18	la	DET	19	det
19	que	PRON	21	obl
20	le	PRON	21	iobj
21	informaba	VERB	14	acl
22	que	SCONJ	25	mark
23	su	DET	24	det
24	nombre	NOUN	25	nsubj
25	aparecía	VERB	21	ccomp
26	en	ADP	27	case
27	documentación	NOUN	25	obl
28	incautada	ADJ	27	amod
29	a	ADP	30	case
30	ETA	PROPN	28	obj
31	.	PUNCT	1	punct