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 queja de alguna de sus señorías socialistas es que González no aprovechara la ocasión para sentar al PP en la mesa de la negociación y cerrar el acuerdo de cubrir las vacantes de las otras instituciones.
Postion	Tokenization
1	La
2	queja
3	de
4	alguna
5	de
6	sus
7	señorías
8	socialistas
9	es
10	que
11	González
12	no
13	aprovechara
14	la
15	ocasión
16	para
17	sentar
18	al
19	PP
20	en
21	la
22	mesa
23	de
24	la
25	negociación
26	y
27	cerrar
28	el
29	acuerdo
30	de
31	cubrir
32	las
33	vacantes
34	de
35	las
36	otras
37	instituciones
38	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	queja	NOUN	9	nsubj
3	de	ADP	4	case
4	alguna	PRON	2	nmod
5	de	ADP	7	case
6	sus	DET	7	det
7	señorías	NOUN	4	nmod
8	socialistas	ADJ	7	amod
9	es	AUX	0	root
10	que	SCONJ	13	mark
11	González	PROPN	13	nsubj
12	no	ADV	13	advmod
13	aprovechara	VERB	9	ccomp
14	la	DET	15	det
15	ocasión	NOUN	13	obj
16	para	ADP	17	mark
17	sentar	VERB	13	advcl
18	al	ADP	19	case
19	PP	PROPN	17	obj
20	en	ADP	22	case
21	la	DET	22	det
22	mesa	NOUN	17	obl
23	de	ADP	25	case
24	la	DET	25	det
25	negociación	NOUN	22	nmod
26	y	CCONJ	27	cc
27	cerrar	VERB	17	conj
28	el	DET	29	det
29	acuerdo	NOUN	27	obj
30	de	ADP	31	mark
31	cubrir	VERB	29	acl
32	las	DET	33	det
33	vacantes	NOUN	31	obj
34	de	ADP	37	case
35	las	DET	37	det
36	otras	DET	35	det
37	instituciones	NOUN	33	nmod
38	.	PUNCT	9	punct