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:
Los arrestos fueron llevados a cabo el lunes en la localidad de Velika Hoca, en el suroeste de Kosovo, por la policía de Naciones Unidas.
Postion	Tokenization
1	Los
2	arrestos
3	fueron
4	llevados
5	a
6	cabo
7	el
8	lunes
9	en
10	la
11	localidad
12	de
13	Velika
14	Hoca
15	,
16	en
17	el
18	suroeste
19	de
20	Kosovo
21	,
22	por
23	la
24	policía
25	de
26	Naciones
27	Unidas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	arrestos	NOUN	4	nsubj
3	fueron	AUX	4	aux
4	llevados	VERB	0	root
5	a	ADP	6	case
6	cabo	NOUN	4	compound
7	el	DET	8	det
8	lunes	NOUN	4	obl
9	en	ADP	11	case
10	la	DET	11	det
11	localidad	NOUN	4	obl
12	de	ADP	13	case
13	Velika	PROPN	11	nmod
14	Hoca	PROPN	13	flat
15	,	PUNCT	18	punct
16	en	ADP	18	case
17	el	DET	18	det
18	suroeste	NOUN	11	nmod
19	de	ADP	20	case
20	Kosovo	PROPN	18	nmod
21	,	PUNCT	18	punct
22	por	ADP	24	case
23	la	DET	24	det
24	policía	NOUN	4	obj
25	de	ADP	26	case
26	Naciones	PROPN	24	nmod
27	Unidas	PROPN	26	flat
28	.	PUNCT	4	punct