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:
La ejecutiva del PSC anunció que pedirá a la Generalitat que presente un recurso ante el Tribunal Constitucional contra los decretos de liberalización de horarios comerciales y del suelo.
Postion	Tokenization
1	La
2	ejecutiva
3	del
4	PSC
5	anunció
6	que
7	pedirá
8	a
9	la
10	Generalitat
11	que
12	presente
13	un
14	recurso
15	ante
16	el
17	Tribunal
18	Constitucional
19	contra
20	los
21	decretos
22	de
23	liberalización
24	de
25	horarios
26	comerciales
27	y
28	del
29	suelo
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ejecutiva	NOUN	5	nsubj
3	del	ADP	4	case
4	PSC	PROPN	2	nmod
5	anunció	VERB	0	root
6	que	SCONJ	7	mark
7	pedirá	VERB	5	ccomp
8	a	ADP	10	case
9	la	DET	10	det
10	Generalitat	PROPN	7	iobj
11	que	SCONJ	12	mark
12	presente	VERB	7	ccomp
13	un	DET	14	det
14	recurso	NOUN	12	obj
15	ante	ADP	17	case
16	el	DET	17	det
17	Tribunal	PROPN	12	obl
18	Constitucional	PROPN	17	flat
19	contra	ADP	21	case
20	los	DET	21	det
21	decretos	NOUN	12	obl
22	de	ADP	23	case
23	liberalización	NOUN	21	nmod
24	de	ADP	25	case
25	horarios	NOUN	23	nmod
26	comerciales	ADJ	25	amod
27	y	CCONJ	29	cc
28	del	ADP	29	case
29	suelo	NOUN	25	conj
30	.	PUNCT	5	punct