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:
Fernández Marugán denunció que el compromiso financiero y fiscal de Piqué "está plagado de irregularidades" y que su actitud ha estado siempre destinada a "confundir a la opinión pública y nunca a proporcionarle la información que dijo que iba a llevar a cabo".
Postion	Tokenization
1	Fernández
2	Marugán
3	denunció
4	que
5	el
6	compromiso
7	financiero
8	y
9	fiscal
10	de
11	Piqué
12	"
13	está
14	plagado
15	de
16	irregularidades
17	"
18	y
19	que
20	su
21	actitud
22	ha
23	estado
24	siempre
25	destinada
26	a
27	"
28	confundir
29	a
30	la
31	opinión
32	pública
33	y
34	nunca
35	a
36	proporcionarle
37	proporcionar
38	le
39	la
40	información
41	que
42	dijo
43	que
44	iba
45	a
46	llevar
47	a
48	cabo
49	"
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Fernández	PROPN	3	nsubj
2	Marugán	PROPN	1	flat
3	denunció	VERB	0	root
4	que	SCONJ	14	mark
5	el	DET	6	det
6	compromiso	NOUN	14	nsubj
7	financiero	ADJ	6	amod
8	y	CCONJ	9	cc
9	fiscal	ADJ	7	conj
10	de	ADP	11	case
11	Piqué	PROPN	6	nmod
12	"	PUNCT	14	punct
13	está	AUX	14	cop
14	plagado	ADJ	3	ccomp
15	de	ADP	16	case
16	irregularidades	NOUN	14	obj
17	"	PUNCT	25	punct
18	y	CCONJ	25	cc
19	que	SCONJ	25	mark
20	su	DET	21	det
21	actitud	NOUN	25	nsubj
22	ha	AUX	25	aux
23	estado	AUX	25	cop
24	siempre	ADV	25	advmod
25	destinada	ADJ	14	conj
26	a	ADP	28	mark
27	"	PUNCT	28	punct
28	confundir	VERB	25	xcomp
29	a	ADP	31	case
30	la	DET	31	det
31	opinión	NOUN	28	obj
32	pública	ADJ	31	amod
33	y	CCONJ	34	cc
34	nunca	ADV	25	conj
35	a	ADP	34	case
36	proporcionarle	_	None	_
37	proporcionar	VERB	34	acl
38	le	PRON	36	obj
39	la	DET	39	det
40	información	NOUN	36	obj
41	que	PRON	41	iobj
42	dijo	VERB	39	acl
43	que	SCONJ	45	mark
44	iba	AUX	45	aux
45	a	ADP	45	mark
46	llevar	VERB	41	xcomp
47	a	ADP	47	case
48	cabo	NOUN	45	compound
49	"	PUNCT	3	punct
50	.	PUNCT	3	punct