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 detuvo a la novia de Narciso, de 17 años, a la hermana pequeña del presunto parricida y a un amigo de ésta por intentar hacer desaparecer el cuerpo.
Postion	Tokenization
1	La
2	policía
3	detuvo
4	a
5	la
6	novia
7	de
8	Narciso
9	,
10	de
11	17
12	años
13	,
14	a
15	la
16	hermana
17	pequeña
18	del
19	presunto
20	parricida
21	y
22	a
23	un
24	amigo
25	de
26	ésta
27	por
28	intentar
29	hacer
30	desaparecer
31	el
32	cuerpo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	detuvo	VERB	0	root
4	a	ADP	6	case
5	la	DET	6	det
6	novia	NOUN	3	obj
7	de	ADP	8	case
8	Narciso	PROPN	6	nmod
9	,	PUNCT	12	punct
10	de	ADP	12	case
11	17	NUM	12	nummod
12	años	NOUN	6	nmod
13	,	PUNCT	16	punct
14	a	ADP	16	case
15	la	DET	16	det
16	hermana	NOUN	6	conj
17	pequeña	ADJ	16	amod
18	del	ADP	20	case
19	presunto	ADJ	20	amod
20	parricida	NOUN	16	nmod
21	y	CCONJ	24	cc
22	a	ADP	24	case
23	un	DET	24	det
24	amigo	NOUN	6	conj
25	de	ADP	26	case
26	ésta	PRON	24	nmod
27	por	ADP	28	mark
28	intentar	VERB	3	advcl
29	hacer	VERB	28	xcomp
30	desaparecer	VERB	29	xcomp
31	el	DET	32	det
32	cuerpo	NOUN	29	obj
33	.	PUNCT	3	punct