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:
Destacó de entrada que "la situación es notablemente mejor que la de hace un año", y que Euskadi atraviesa "un buen momento económico, social y político".
Postion	Tokenization
1	Destacó
2	de
3	entrada
4	que
5	"
6	la
7	situación
8	es
9	notablemente
10	mejor
11	que
12	la
13	de
14	hace
15	un
16	año
17	"
18	,
19	y
20	que
21	Euskadi
22	atraviesa
23	"
24	un
25	buen
26	momento
27	económico
28	,
29	social
30	y
31	político
32	"
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Destacó	VERB	0	root
2	de	ADP	1	advmod
3	entrada	NOUN	2	fixed
4	que	SCONJ	10	mark
5	"	PUNCT	10	punct
6	la	DET	7	det
7	situación	NOUN	10	nsubj
8	es	AUX	10	cop
9	notablemente	ADV	10	advmod
10	mejor	ADJ	1	ccomp
11	que	SCONJ	12	mark
12	la	DET	10	det
13	de	ADP	12	case
14	hace	VERB	12	advcl
15	un	DET	16	det
16	año	NOUN	14	obj
17	"	PUNCT	22	punct
18	,	PUNCT	22	punct
19	y	CCONJ	22	cc
20	que	SCONJ	22	mark
21	Euskadi	PROPN	22	nsubj
22	atraviesa	VERB	10	conj
23	"	PUNCT	26	punct
24	un	DET	26	det
25	buen	ADJ	26	amod
26	momento	NOUN	22	obj
27	económico	ADJ	26	amod
28	,	PUNCT	29	punct
29	social	ADJ	27	conj
30	y	CCONJ	31	cc
31	político	ADJ	27	conj
32	"	PUNCT	26	punct
33	.	PUNCT	1	punct