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:
El Gobierno ha admitido que los ajustes generarán un evidente descontento, pero ha señalado que ello no supone, en lo más mínimo, que el Ejecutivo pretenda atentar contra la democracia.
Postion	Tokenization
1	El
2	Gobierno
3	ha
4	admitido
5	que
6	los
7	ajustes
8	generarán
9	un
10	evidente
11	descontento
12	,
13	pero
14	ha
15	señalado
16	que
17	ello
18	no
19	supone
20	,
21	en
22	lo
23	más
24	mínimo
25	,
26	que
27	el
28	Ejecutivo
29	pretenda
30	atentar
31	contra
32	la
33	democracia
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	4	nsubj
3	ha	AUX	4	aux
4	admitido	VERB	0	root
5	que	SCONJ	8	mark
6	los	DET	7	det
7	ajustes	NOUN	8	nsubj
8	generarán	VERB	4	ccomp
9	un	DET	11	det
10	evidente	ADJ	11	amod
11	descontento	NOUN	8	obj
12	,	PUNCT	15	punct
13	pero	CCONJ	15	cc
14	ha	AUX	15	aux
15	señalado	VERB	4	conj
16	que	SCONJ	19	mark
17	ello	PRON	19	nsubj
18	no	ADV	19	advmod
19	supone	VERB	15	ccomp
20	,	PUNCT	24	punct
21	en	ADP	24	case
22	lo	PRON	24	det
23	más	ADV	24	advmod
24	mínimo	ADJ	19	advmod
25	,	PUNCT	24	punct
26	que	SCONJ	29	mark
27	el	DET	28	det
28	Ejecutivo	PROPN	29	nsubj
29	pretenda	VERB	19	ccomp
30	atentar	VERB	29	xcomp
31	contra	ADP	33	case
32	la	DET	33	det
33	democracia	NOUN	30	obj
34	.	PUNCT	4	punct