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:
Bacon mencionó en concreto la retirada de todas las fuerzas militares serbias de Kosovo y el despliegue de una fuerza de la OTAN en la provincia para garantizar la paz y el regreso de los refugiados.
Postion	Tokenization
1	Bacon
2	mencionó
3	en
4	concreto
5	la
6	retirada
7	de
8	todas
9	las
10	fuerzas
11	militares
12	serbias
13	de
14	Kosovo
15	y
16	el
17	despliegue
18	de
19	una
20	fuerza
21	de
22	la
23	OTAN
24	en
25	la
26	provincia
27	para
28	garantizar
29	la
30	paz
31	y
32	el
33	regreso
34	de
35	los
36	refugiados
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Bacon	PROPN	2	nsubj
2	mencionó	VERB	0	root
3	en	ADP	2	advmod
4	concreto	NOUN	3	fixed
5	la	DET	6	det
6	retirada	NOUN	2	obj
7	de	ADP	10	case
8	todas	DET	9	det
9	las	DET	10	det
10	fuerzas	NOUN	6	nmod
11	militares	ADJ	10	amod
12	serbias	NOUN	10	nmod
13	de	ADP	14	case
14	Kosovo	PROPN	6	nmod
15	y	CCONJ	17	cc
16	el	DET	17	det
17	despliegue	NOUN	6	conj
18	de	ADP	20	case
19	una	DET	20	det
20	fuerza	NOUN	17	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	OTAN	PROPN	20	nmod
24	en	ADP	26	case
25	la	DET	26	det
26	provincia	NOUN	17	nmod
27	para	ADP	28	mark
28	garantizar	VERB	17	acl
29	la	DET	30	det
30	paz	NOUN	28	obj
31	y	CCONJ	33	cc
32	el	DET	33	det
33	regreso	NOUN	30	conj
34	de	ADP	36	case
35	los	DET	36	det
36	refugiados	NOUN	33	nmod
37	.	PUNCT	2	punct