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:
Tras recordar que nunca se ha hecho pública la lista completa de los beneficiarios del programa, Maragall explicó que ayer se vio con Fainé para tratar de esta cuestión.
Postion	Tokenization
1	Tras
2	recordar
3	que
4	nunca
5	se
6	ha
7	hecho
8	pública
9	la
10	lista
11	completa
12	de
13	los
14	beneficiarios
15	del
16	programa
17	,
18	Maragall
19	explicó
20	que
21	ayer
22	se
23	vio
24	con
25	Fainé
26	para
27	tratar
28	de
29	esta
30	cuestión
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	2	mark
2	recordar	VERB	19	advcl
3	que	SCONJ	2	mark
4	nunca	ADV	2	advmod
5	se	PRON	2	expl:pass
6	ha	AUX	2	aux
7	hecho	VERB	2	xcomp
8	pública	ADJ	7	obj
9	la	DET	10	det
10	lista	NOUN	2	nsubj
11	completa	ADJ	10	amod
12	de	ADP	14	case
13	los	DET	14	det
14	beneficiarios	NOUN	10	nmod
15	del	ADP	16	case
16	programa	NOUN	14	nmod
17	,	PUNCT	2	punct
18	Maragall	PROPN	19	nsubj
19	explicó	VERB	0	root
20	que	SCONJ	23	mark
21	ayer	ADV	23	advmod
22	se	PRON	23	expl:pv
23	vio	VERB	19	ccomp
24	con	ADP	25	case
25	Fainé	PROPN	23	obj
26	para	ADP	27	mark
27	tratar	VERB	23	advcl
28	de	ADP	30	case
29	esta	DET	30	det
30	cuestión	NOUN	27	obj
31	.	PUNCT	19	punct