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 diputada acusó al Gobierno de practicar "una huida hacia adelante" para evitar el debate político y denunció que el PP ha rebajado las inversiones públicas en un "porcentaje increíble" desde 1996.
Postion	Tokenization
1	La
2	diputada
3	acusó
4	al
5	Gobierno
6	de
7	practicar
8	"
9	una
10	huida
11	hacia
12	adelante
13	"
14	para
15	evitar
16	el
17	debate
18	político
19	y
20	denunció
21	que
22	el
23	PP
24	ha
25	rebajado
26	las
27	inversiones
28	públicas
29	en
30	un
31	"
32	porcentaje
33	increíble
34	"
35	desde
36	1996
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	diputada	NOUN	3	nsubj
3	acusó	VERB	0	root
4	al	ADP	5	case
5	Gobierno	PROPN	3	iobj
6	de	ADP	7	mark
7	practicar	VERB	3	xcomp
8	"	PUNCT	10	punct
9	una	DET	10	det
10	huida	NOUN	7	obj
11	hacia	ADP	12	case
12	adelante	ADV	10	advmod
13	"	PUNCT	10	punct
14	para	ADP	15	mark
15	evitar	VERB	7	advcl
16	el	DET	17	det
17	debate	NOUN	15	obj
18	político	ADJ	17	amod
19	y	CCONJ	20	cc
20	denunció	VERB	3	conj
21	que	SCONJ	25	mark
22	el	DET	23	det
23	PP	PROPN	25	nsubj
24	ha	AUX	25	aux
25	rebajado	VERB	20	ccomp
26	las	DET	27	det
27	inversiones	NOUN	25	obj
28	públicas	ADJ	27	amod
29	en	ADP	32	case
30	un	DET	32	det
31	"	PUNCT	32	punct
32	porcentaje	NOUN	25	obl
33	increíble	ADJ	32	amod
34	"	PUNCT	32	punct
35	desde	ADP	36	case
36	1996	NOUN	25	obl
37	.	PUNCT	3	punct