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 policía busca a un joven de 17 años, vecino de Murcia, como presunto autor de la muerte de sus padres y de su hermana de 9 años.
Postion	Tokenization
1	La
2	policía
3	busca
4	a
5	un
6	joven
7	de
8	17
9	años
10	,
11	vecino
12	de
13	Murcia
14	,
15	como
16	presunto
17	autor
18	de
19	la
20	muerte
21	de
22	sus
23	padres
24	y
25	de
26	su
27	hermana
28	de
29	9
30	años
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	busca	VERB	0	root
4	a	ADP	6	case
5	un	DET	6	det
6	joven	NOUN	3	obj
7	de	ADP	9	case
8	17	NUM	9	nummod
9	años	NOUN	6	nmod
10	,	PUNCT	11	punct
11	vecino	NOUN	6	appos
12	de	ADP	13	case
13	Murcia	PROPN	11	nmod
14	,	PUNCT	11	punct
15	como	SCONJ	17	mark
16	presunto	ADJ	17	amod
17	autor	NOUN	3	obl
18	de	ADP	20	case
19	la	DET	20	det
20	muerte	NOUN	17	nmod
21	de	ADP	23	case
22	sus	DET	23	det
23	padres	NOUN	20	nmod
24	y	CCONJ	27	cc
25	de	ADP	27	case
26	su	DET	27	det
27	hermana	NOUN	23	conj
28	de	ADP	30	case
29	9	NUM	30	nummod
30	años	NOUN	27	nmod
31	.	PUNCT	3	punct