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 las proximidades de Pozarevac, pueblo natal de Milosevic y de su esposa, Mirjana Markovic, a unos 100 kilómetros de Belgrado, los policías ordenaron dispersarse a los manifestantes que bloqueaban el tráfico, sin recurrir a la fuerza.
Postion	Tokenization
1	En
2	las
3	proximidades
4	de
5	Pozarevac
6	,
7	pueblo
8	natal
9	de
10	Milosevic
11	y
12	de
13	su
14	esposa
15	,
16	Mirjana
17	Markovic
18	,
19	a
20	unos
21	100
22	kilómetros
23	de
24	Belgrado
25	,
26	los
27	policías
28	ordenaron
29	dispersarse
30	dispersar
31	se
32	a
33	los
34	manifestantes
35	que
36	bloqueaban
37	el
38	tráfico
39	,
40	sin
41	recurrir
42	a
43	la
44	fuerza
45	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	las	DET	3	det
3	proximidades	NOUN	28	obl
4	de	ADP	5	case
5	Pozarevac	PROPN	3	nmod
6	,	PUNCT	7	punct
7	pueblo	NOUN	5	appos
8	natal	ADJ	7	amod
9	de	ADP	10	case
10	Milosevic	PROPN	7	nmod
11	y	CCONJ	14	cc
12	de	ADP	14	case
13	su	DET	14	det
14	esposa	NOUN	10	conj
15	,	PUNCT	16	punct
16	Mirjana	PROPN	14	appos
17	Markovic	PROPN	16	flat
18	,	PUNCT	16	punct
19	a	ADP	22	case
20	unos	PRON	21	nmod
21	100	NUM	22	nummod
22	kilómetros	NOUN	5	nmod
23	de	ADP	24	case
24	Belgrado	PROPN	22	nmod
25	,	PUNCT	3	punct
26	los	DET	27	det
27	policías	NOUN	28	nsubj
28	ordenaron	VERB	0	root
29	dispersarse	_	None	_
30	dispersar	VERB	28	xcomp
31	se	PRON	29	expl:pv
32	a	ADP	33	case
33	los	DET	33	det
34	manifestantes	NOUN	28	iobj
35	que	PRON	35	nsubj
36	bloqueaban	VERB	33	acl
37	el	DET	37	det
38	tráfico	NOUN	35	obj
39	,	PUNCT	40	punct
40	sin	ADP	40	mark
41	recurrir	VERB	28	advcl
42	a	ADP	43	case
43	la	DET	43	det
44	fuerza	NOUN	40	obj
45	.	PUNCT	28	punct