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:
Pese a ser los primeros, Kwa Mashu y Sokombo no son los únicos ejemplos de - limpieza étnica - en el área.
Postion	Tokenization
1	Pese
2	a
3	ser
4	los
5	primeros
6	,
7	Kwa
8	Mashu
9	y
10	Sokombo
11	no
12	son
13	los
14	únicos
15	ejemplos
16	de
17	-
18	limpieza
19	étnica
20	-
21	en
22	el
23	área
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	5	mark
2	a	ADP	1	fixed
3	ser	AUX	5	cop
4	los	DET	5	det
5	primeros	ADJ	15	advcl
6	,	PUNCT	5	punct
7	Kwa	PROPN	15	nsubj
8	Mashu	PROPN	7	flat
9	y	CCONJ	10	cc
10	Sokombo	PROPN	7	conj
11	no	ADV	15	advmod
12	son	AUX	15	cop
13	los	DET	15	det
14	únicos	ADJ	15	amod
15	ejemplos	NOUN	0	root
16	de	ADP	18	case
17	-	PUNCT	18	punct
18	limpieza	NOUN	15	nmod
19	étnica	ADJ	18	amod
20	-	PUNCT	18	punct
21	en	ADP	23	case
22	el	DET	23	det
23	área	NOUN	18	nmod
24	.	PUNCT	15	punct