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:
Por su parte, Pablo de Castro ha sido el único procesado que ha contestado a las preguntas de la acusación particular porque el resto de imputados se han acogido a su derecho de no contestarle.
Postion	Tokenization
1	Por
2	su
3	parte
4	,
5	Pablo
6	de
7	Castro
8	ha
9	sido
10	el
11	único
12	procesado
13	que
14	ha
15	contestado
16	a
17	las
18	preguntas
19	de
20	la
21	acusación
22	particular
23	porque
24	el
25	resto
26	de
27	imputados
28	se
29	han
30	acogido
31	a
32	su
33	derecho
34	de
35	no
36	contestarle
37	contestar
38	le
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	su	DET	3	det
3	parte	NOUN	12	obl
4	,	PUNCT	3	punct
5	Pablo	PROPN	12	nsubj
6	de	ADP	7	case
7	Castro	PROPN	5	flat
8	ha	AUX	12	aux
9	sido	AUX	12	cop
10	el	DET	12	det
11	único	ADJ	12	amod
12	procesado	NOUN	0	root
13	que	PRON	15	nsubj
14	ha	AUX	15	aux
15	contestado	VERB	12	acl
16	a	ADP	18	case
17	las	DET	18	det
18	preguntas	NOUN	15	obj
19	de	ADP	21	case
20	la	DET	21	det
21	acusación	NOUN	18	nmod
22	particular	ADJ	21	amod
23	porque	SCONJ	30	mark
24	el	DET	25	det
25	resto	NOUN	30	nsubj
26	de	ADP	27	case
27	imputados	NOUN	25	nmod
28	se	PRON	30	expl:pv
29	han	AUX	30	aux
30	acogido	VERB	12	advcl
31	a	ADP	33	case
32	su	DET	33	det
33	derecho	NOUN	30	obj
34	de	ADP	36	mark
35	no	ADV	36	advmod
36	contestarle	_	None	_
37	contestar	VERB	33	acl
38	le	PRON	36	obj
39	.	PUNCT	12	punct