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 ha desarticulado en Madrid una organización internacional que usaba como tapadera a la Iglesia de Jesús sobre la Tierra para introducir a inmigrantes bolivianos en España de forma ilegal.
Postion	Tokenization
1	La
2	policía
3	ha
4	desarticulado
5	en
6	Madrid
7	una
8	organización
9	internacional
10	que
11	usaba
12	como
13	tapadera
14	a
15	la
16	Iglesia
17	de
18	Jesús
19	sobre
20	la
21	Tierra
22	para
23	introducir
24	a
25	inmigrantes
26	bolivianos
27	en
28	España
29	de
30	forma
31	ilegal
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	4	nsubj
3	ha	AUX	4	aux
4	desarticulado	VERB	0	root
5	en	ADP	6	case
6	Madrid	PROPN	4	obl
7	una	DET	8	det
8	organización	NOUN	4	obj
9	internacional	ADJ	8	amod
10	que	PRON	11	nsubj
11	usaba	VERB	8	acl
12	como	SCONJ	13	mark
13	tapadera	NOUN	11	obj
14	a	ADP	16	case
15	la	DET	16	det
16	Iglesia	PROPN	11	obj
17	de	ADP	18	case
18	Jesús	PROPN	16	flat
19	sobre	ADP	21	case
20	la	DET	21	det
21	Tierra	PROPN	16	flat
22	para	ADP	23	mark
23	introducir	VERB	11	advcl
24	a	ADP	25	case
25	inmigrantes	NOUN	23	obj
26	bolivianos	ADJ	25	amod
27	en	ADP	28	case
28	España	PROPN	23	obl
29	de	ADP	30	case
30	forma	NOUN	23	obl
31	ilegal	ADJ	30	amod
32	.	PUNCT	4	punct