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:
Según señaló Socorro a la prensa local, está dispuesto a vestir la camiseta de su país, después de tres años de ausencia.
Postion	Tokenization
1	Según
2	señaló
3	Socorro
4	a
5	la
6	prensa
7	local
8	,
9	está
10	dispuesto
11	a
12	vestir
13	la
14	camiseta
15	de
16	su
17	país
18	,
19	después
20	de
21	tres
22	años
23	de
24	ausencia
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	señaló	VERB	10	advcl
3	Socorro	PROPN	2	nsubj
4	a	ADP	6	case
5	la	DET	6	det
6	prensa	NOUN	2	obj
7	local	ADJ	6	amod
8	,	PUNCT	2	punct
9	está	AUX	10	cop
10	dispuesto	ADJ	0	root
11	a	ADP	12	mark
12	vestir	VERB	10	xcomp
13	la	DET	14	det
14	camiseta	NOUN	12	obj
15	de	ADP	17	case
16	su	DET	17	det
17	país	NOUN	14	nmod
18	,	PUNCT	19	punct
19	después	ADV	12	advmod
20	de	ADP	22	case
21	tres	NUM	22	nummod
22	años	NOUN	19	obl
23	de	ADP	24	case
24	ausencia	NOUN	22	nmod
25	.	PUNCT	10	punct