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 trata de dispersar en Nis, 350 kilómetros al sur de Belgrado, a una columna de un centenar de camiones que intenta bloquear la autopista.
Postion	Tokenization
1	La
2	policía
3	trata
4	de
5	dispersar
6	en
7	Nis
8	,
9	350
10	kilómetros
11	al
12	sur
13	de
14	Belgrado
15	,
16	a
17	una
18	columna
19	de
20	un
21	centenar
22	de
23	camiones
24	que
25	intenta
26	bloquear
27	la
28	autopista
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	trata	VERB	0	root
4	de	ADP	5	mark
5	dispersar	VERB	3	xcomp
6	en	ADP	7	case
7	Nis	PROPN	3	obl
8	,	PUNCT	10	punct
9	350	NUM	10	nummod
10	kilómetros	NOUN	7	appos
11	al	ADP	12	case
12	sur	NOUN	10	nmod
13	de	ADP	14	case
14	Belgrado	PROPN	12	nmod
15	,	PUNCT	10	punct
16	a	ADP	18	case
17	una	DET	18	det
18	columna	NOUN	5	obj
19	de	ADP	21	case
20	un	DET	21	det
21	centenar	NOUN	18	nmod
22	de	ADP	23	case
23	camiones	NOUN	21	nmod
24	que	PRON	25	nsubj
25	intenta	VERB	18	acl
26	bloquear	VERB	25	xcomp
27	la	DET	28	det
28	autopista	NOUN	26	obj
29	.	PUNCT	3	punct