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 acción está centrada en las investigaciones de un homicidio por parte de una pareja del cuerpo de investigadores especializados de la Guardia Civil.
Postion	Tokenization
1	La
2	acción
3	está
4	centrada
5	en
6	las
7	investigaciones
8	de
9	un
10	homicidio
11	por
12	parte
13	de
14	una
15	pareja
16	del
17	cuerpo
18	de
19	investigadores
20	especializados
21	de
22	la
23	Guardia
24	Civil
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	acción	NOUN	4	nsubj
3	está	AUX	4	cop
4	centrada	ADJ	0	root
5	en	ADP	7	case
6	las	DET	7	det
7	investigaciones	NOUN	4	obj
8	de	ADP	10	case
9	un	DET	10	det
10	homicidio	NOUN	7	nmod
11	por	ADP	15	case
12	parte	NOUN	11	fixed
13	de	ADP	11	fixed
14	una	DET	15	det
15	pareja	NOUN	7	nmod
16	del	ADP	17	case
17	cuerpo	NOUN	15	nmod
18	de	ADP	19	case
19	investigadores	NOUN	17	nmod
20	especializados	ADJ	19	amod
21	de	ADP	23	case
22	la	DET	23	det
23	Guardia	PROPN	17	nmod
24	Civil	PROPN	23	flat
25	.	PUNCT	4	punct