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:
Shea admitió que esos ataques "benefician indirectamente" a la guerrilla del UCK, que combate en esa zona contra los serbios en su intento de recuperar terreno.
Postion	Tokenization
1	Shea
2	admitió
3	que
4	esos
5	ataques
6	"
7	benefician
8	indirectamente
9	"
10	a
11	la
12	guerrilla
13	del
14	UCK
15	,
16	que
17	combate
18	en
19	esa
20	zona
21	contra
22	los
23	serbios
24	en
25	su
26	intento
27	de
28	recuperar
29	terreno
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Shea	PROPN	2	nsubj
2	admitió	VERB	0	root
3	que	SCONJ	7	mark
4	esos	DET	5	det
5	ataques	NOUN	7	nsubj
6	"	PUNCT	7	punct
7	benefician	VERB	2	ccomp
8	indirectamente	ADV	7	advmod
9	"	PUNCT	7	punct
10	a	ADP	12	case
11	la	DET	12	det
12	guerrilla	NOUN	7	obj
13	del	ADP	14	case
14	UCK	PROPN	12	nmod
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	combate	VERB	12	acl
18	en	ADP	20	case
19	esa	DET	20	det
20	zona	NOUN	17	obl
21	contra	ADP	23	case
22	los	DET	23	det
23	serbios	NOUN	17	obl
24	en	ADP	26	case
25	su	DET	26	det
26	intento	NOUN	17	obl
27	de	ADP	28	mark
28	recuperar	VERB	26	acl
29	terreno	NOUN	28	obj
30	.	PUNCT	2	punct