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:
En declaraciones a los periodistas, Maragall ha explicado que lanzó esta acusación contra Fainé porque todo el mundo pensaba que, en su calidad de vicepresidente de Telefónica, participaba en este programa.
Postion	Tokenization
1	En
2	declaraciones
3	a
4	los
5	periodistas
6	,
7	Maragall
8	ha
9	explicado
10	que
11	lanzó
12	esta
13	acusación
14	contra
15	Fainé
16	porque
17	todo
18	el
19	mundo
20	pensaba
21	que
22	,
23	en
24	su
25	calidad
26	de
27	vicepresidente
28	de
29	Telefónica
30	,
31	participaba
32	en
33	este
34	programa
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	declaraciones	NOUN	9	obl
3	a	ADP	5	case
4	los	DET	5	det
5	periodistas	NOUN	2	nmod
6	,	PUNCT	2	punct
7	Maragall	PROPN	9	nsubj
8	ha	AUX	9	aux
9	explicado	VERB	0	root
10	que	SCONJ	11	mark
11	lanzó	VERB	9	ccomp
12	esta	DET	13	det
13	acusación	NOUN	11	obj
14	contra	ADP	15	case
15	Fainé	PROPN	11	obl
16	porque	SCONJ	20	mark
17	todo	DET	18	det
18	el	DET	19	det
19	mundo	NOUN	20	nsubj
20	pensaba	VERB	11	advcl
21	que	SCONJ	31	mark
22	,	PUNCT	25	punct
23	en	ADP	25	case
24	su	DET	25	det
25	calidad	NOUN	31	obl
26	de	ADP	27	case
27	vicepresidente	NOUN	25	nmod
28	de	ADP	29	case
29	Telefónica	PROPN	27	nmod
30	,	PUNCT	25	punct
31	participaba	VERB	20	ccomp
32	en	ADP	34	case
33	este	DET	34	det
34	programa	NOUN	31	obj
35	.	PUNCT	9	punct