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 luxemburguesa rodeó el edificio con un amplio despliegue de efectivos, que establecieron un perímetro de seguridad de 500 metros.
Postion	Tokenization
1	La
2	policía
3	luxemburguesa
4	rodeó
5	el
6	edificio
7	con
8	un
9	amplio
10	despliegue
11	de
12	efectivos
13	,
14	que
15	establecieron
16	un
17	perímetro
18	de
19	seguridad
20	de
21	500
22	metros
23	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	4	nsubj
3	luxemburguesa	ADJ	2	amod
4	rodeó	VERB	0	root
5	el	DET	6	det
6	edificio	NOUN	4	obj
7	con	ADP	10	case
8	un	DET	10	det
9	amplio	ADJ	10	amod
10	despliegue	NOUN	4	obl
11	de	ADP	12	case
12	efectivos	NOUN	10	nmod
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	establecieron	VERB	12	acl
16	un	DET	17	det
17	perímetro	NOUN	15	obj
18	de	ADP	19	case
19	seguridad	NOUN	17	nmod
20	de	ADP	22	case
21	500	NUM	22	nummod
22	metros	NOUN	17	nmod
23	.	PUNCT	4	punct