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:
En Málaga se ha desmantelado, de forma casi simultánea, una red que introducía a mujeres rumanas en España para obligarlas a prostituirse.
Postion	Tokenization
1	En
2	Málaga
3	se
4	ha
5	desmantelado
6	,
7	de
8	forma
9	casi
10	simultánea
11	,
12	una
13	red
14	que
15	introducía
16	a
17	mujeres
18	rumanas
19	en
20	España
21	para
22	obligarlas
23	obligar
24	las
25	a
26	prostituirse
27	prostituir
28	se
29	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Málaga	PROPN	5	obl
3	se	PRON	5	expl:pass
4	ha	AUX	5	aux
5	desmantelado	VERB	0	root
6	,	PUNCT	8	punct
7	de	ADP	8	case
8	forma	NOUN	5	obl
9	casi	ADV	10	advmod
10	simultánea	ADJ	8	amod
11	,	PUNCT	8	punct
12	una	DET	13	det
13	red	NOUN	5	nsubj
14	que	PRON	15	nsubj
15	introducía	VERB	13	acl
16	a	ADP	17	case
17	mujeres	NOUN	15	obj
18	rumanas	ADJ	17	amod
19	en	ADP	20	case
20	España	PROPN	15	obl
21	para	ADP	22	mark
22	obligarlas	_	None	_
23	obligar	VERB	15	advcl
24	las	PRON	22	obj
25	a	ADP	25	mark
26	prostituirse	_	None	_
27	prostituir	VERB	22	xcomp
28	se	PRON	25	obj
29	.	PUNCT	5	punct