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:
Aznar cree que no aportan nada "polémicas sobre cuestiones accesorias que no se refieren al entendimiento de fondo que es necesario y por el que el Gobierno trabaja".
Postion	Tokenization
1	Aznar
2	cree
3	que
4	no
5	aportan
6	nada
7	"
8	polémicas
9	sobre
10	cuestiones
11	accesorias
12	que
13	no
14	se
15	refieren
16	al
17	entendimiento
18	de
19	fondo
20	que
21	es
22	necesario
23	y
24	por
25	el
26	que
27	el
28	Gobierno
29	trabaja
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Aznar	PROPN	2	nsubj
2	cree	VERB	0	root
3	que	SCONJ	5	mark
4	no	ADV	5	advmod
5	aportan	VERB	2	ccomp
6	nada	PRON	5	obj
7	"	PUNCT	8	punct
8	polémicas	NOUN	5	nsubj
9	sobre	ADP	10	case
10	cuestiones	NOUN	8	nmod
11	accesorias	ADJ	10	amod
12	que	PRON	15	nsubj
13	no	ADV	15	advmod
14	se	PRON	15	expl:pv
15	refieren	VERB	10	acl
16	al	ADP	17	case
17	entendimiento	NOUN	15	obj
18	de	ADP	19	case
19	fondo	NOUN	17	nmod
20	que	PRON	22	nsubj
21	es	AUX	22	cop
22	necesario	ADJ	17	acl
23	y	CCONJ	29	cc
24	por	ADP	26	case
25	el	DET	26	det
26	que	PRON	29	obl
27	el	DET	28	det
28	Gobierno	PROPN	29	nsubj
29	trabaja	VERB	22	conj
30	"	PUNCT	8	punct
31	.	PUNCT	2	punct