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:
Inspectores de la comisaría de Horta tuvieron que emplearse a fondo para lograr la detención de los tres delincuentes, que tienen su domicilio en el propio distrito de Horta-Guinardó.
Postion	Tokenization
1	Inspectores
2	de
3	la
4	comisaría
5	de
6	Horta
7	tuvieron
8	que
9	emplearse
10	emplear
11	se
12	a
13	fondo
14	para
15	lograr
16	la
17	detención
18	de
19	los
20	tres
21	delincuentes
22	,
23	que
24	tienen
25	su
26	domicilio
27	en
28	el
29	propio
30	distrito
31	de
32	Horta-Guinardó
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Inspectores	NOUN	9	nsubj
2	de	ADP	4	case
3	la	DET	4	det
4	comisaría	NOUN	1	nmod
5	de	ADP	6	case
6	Horta	PROPN	4	nmod
7	tuvieron	VERB	0	root
8	que	SCONJ	9	cc
9	emplearse	_	None	_
10	emplear	VERB	7	conj
11	se	PRON	9	expl:pv
12	a	ADP	9	advmod
13	fondo	NOUN	11	fixed
14	para	ADP	14	mark
15	lograr	VERB	9	advcl
16	la	DET	16	det
17	detención	NOUN	14	obj
18	de	ADP	20	case
19	los	DET	20	det
20	tres	NUM	18	nummod
21	delincuentes	NOUN	16	nmod
22	,	PUNCT	23	punct
23	que	PRON	23	nsubj
24	tienen	VERB	20	acl
25	su	DET	25	det
26	domicilio	NOUN	23	obj
27	en	ADP	29	case
28	el	DET	29	det
29	propio	DET	27	det
30	distrito	NOUN	23	obl
31	de	ADP	31	case
32	Horta-Guinardó	PROPN	29	nmod
33	.	PUNCT	7	punct