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:
Esta mañana han finalizado las declaraciones de los doce procesados, después de que también lo hicieran José Ramón Guimaraens, que fue presidente de la empresa deportiva Dorma, y el ex auditor del Atlético de Madrid Pablo de Castro, que sólo está imputado por la acusación particular, que ejerce Jose Carlos Aguilera, en representación del PSOE.
Postion	Tokenization
1	Esta
2	mañana
3	han
4	finalizado
5	las
6	declaraciones
7	de
8	los
9	doce
10	procesados
11	,
12	después
13	de
14	que
15	también
16	lo
17	hicieran
18	José
19	Ramón
20	Guimaraens
21	,
22	que
23	fue
24	presidente
25	de
26	la
27	empresa
28	deportiva
29	Dorma
30	,
31	y
32	el
33	ex
34	auditor
35	del
36	Atlético
37	de
38	Madrid
39	Pablo
40	de
41	Castro
42	,
43	que
44	sólo
45	está
46	imputado
47	por
48	la
49	acusación
50	particular
51	,
52	que
53	ejerce
54	Jose
55	Carlos
56	Aguilera
57	,
58	en
59	representación
60	del
61	PSOE
62	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	mañana	NOUN	4	obl
3	han	AUX	4	aux
4	finalizado	VERB	0	root
5	las	DET	6	det
6	declaraciones	NOUN	4	nsubj
7	de	ADP	10	case
8	los	DET	10	det
9	doce	NUM	8	nummod
10	procesados	NOUN	6	nmod
11	,	PUNCT	17	punct
12	después	ADV	17	mark
13	de	ADP	12	fixed
14	que	SCONJ	17	mark
15	también	ADV	17	advmod
16	lo	PRON	17	obj
17	hicieran	VERB	4	advcl
18	José	PROPN	17	nsubj
19	Ramón	PROPN	18	flat
20	Guimaraens	PROPN	18	flat
21	,	PUNCT	24	punct
22	que	PRON	24	nsubj
23	fue	AUX	24	cop
24	presidente	NOUN	18	acl
25	de	ADP	27	case
26	la	DET	27	det
27	empresa	NOUN	24	nmod
28	deportiva	ADJ	27	amod
29	Dorma	PROPN	27	appos
30	,	PUNCT	24	punct
31	y	CCONJ	34	cc
32	el	DET	34	det
33	ex	ADJ	34	amod
34	auditor	NOUN	18	conj
35	del	ADP	36	case
36	Atlético	PROPN	34	nmod
37	de	ADP	38	case
38	Madrid	PROPN	36	flat
39	Pablo	PROPN	34	appos
40	de	ADP	41	case
41	Castro	PROPN	39	flat
42	,	PUNCT	46	punct
43	que	PRON	46	nsubj
44	sólo	ADV	46	advmod
45	está	AUX	46	cop
46	imputado	ADJ	34	acl
47	por	ADP	49	case
48	la	DET	49	det
49	acusación	NOUN	46	obj
50	particular	ADJ	49	amod
51	,	PUNCT	53	punct
52	que	PRON	53	obj
53	ejerce	VERB	49	acl
54	Jose	PROPN	53	nsubj
55	Carlos	PROPN	54	flat
56	Aguilera	PROPN	54	flat
57	,	PUNCT	59	punct
58	en	ADP	59	case
59	representación	NOUN	53	obl
60	del	ADP	61	case
61	PSOE	PROPN	59	nmod
62	.	PUNCT	4	punct