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 KFOR interceptó una significativa cantidad de armas y practicó algunas detenciones en varias operaciones llevadas a cabo el domingo en la provincia.
Postion	Tokenization
1	LA
2	KFOR
3	interceptó
4	una
5	significativa
6	cantidad
7	de
8	armas
9	y
10	practicó
11	algunas
12	detenciones
13	en
14	varias
15	operaciones
16	llevadas
17	a
18	cabo
19	el
20	domingo
21	en
22	la
23	provincia
24	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	KFOR	PROPN	3	nsubj
3	interceptó	VERB	0	root
4	una	DET	6	det
5	significativa	ADJ	6	amod
6	cantidad	NOUN	3	obj
7	de	ADP	8	case
8	armas	NOUN	6	nmod
9	y	CCONJ	10	cc
10	practicó	VERB	3	conj
11	algunas	DET	12	det
12	detenciones	NOUN	10	obj
13	en	ADP	15	case
14	varias	DET	15	det
15	operaciones	NOUN	10	obl
16	llevadas	ADJ	15	amod
17	a	ADP	18	case
18	cabo	NOUN	16	nmod
19	el	DET	20	det
20	domingo	NOUN	16	obl
21	en	ADP	23	case
22	la	DET	23	det
23	provincia	NOUN	16	obl
24	.	PUNCT	3	punct