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:
Según Shea, el UCK libra "fuertes combates con tropas del Ejército y de la policía serbia a lo largo de la frontera" para intentar mantener el corredor existente en torno a Kazari.
Postion	Tokenization
1	Según
2	Shea
3	,
4	el
5	UCK
6	libra
7	"
8	fuertes
9	combates
10	con
11	tropas
12	del
13	Ejército
14	y
15	de
16	la
17	policía
18	serbia
19	a
20	lo
21	largo
22	de
23	la
24	frontera
25	"
26	para
27	intentar
28	mantener
29	el
30	corredor
31	existente
32	en
33	torno
34	a
35	Kazari
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Shea	PROPN	6	obl
3	,	PUNCT	2	punct
4	el	DET	5	det
5	UCK	PROPN	6	nsubj
6	libra	VERB	0	root
7	"	PUNCT	6	punct
8	fuertes	ADJ	9	amod
9	combates	NOUN	6	obj
10	con	ADP	11	case
11	tropas	NOUN	9	nmod
12	del	ADP	13	case
13	Ejército	PROPN	11	nmod
14	y	CCONJ	17	cc
15	de	ADP	17	case
16	la	DET	17	det
17	policía	NOUN	13	conj
18	serbia	ADJ	17	amod
19	a	ADP	24	case
20	lo	PRON	19	fixed
21	largo	NOUN	19	fixed
22	de	ADP	19	fixed
23	la	DET	24	det
24	frontera	NOUN	6	obl
25	"	PUNCT	6	punct
26	para	ADP	27	mark
27	intentar	VERB	6	advcl
28	mantener	VERB	27	xcomp
29	el	DET	30	det
30	corredor	NOUN	28	obj
31	existente	ADJ	30	amod
32	en	ADP	35	case
33	torno	NOUN	32	fixed
34	a	ADP	32	fixed
35	Kazari	PROPN	31	nmod
36	.	PUNCT	6	punct