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:
Otros cuatro hombres, tres de los cuales han sido absueltos, también estaban relacionados con la distribución de la droga.
Postion	Tokenization
1	Otros
2	cuatro
3	hombres
4	,
5	tres
6	de
7	los
8	cuales
9	han
10	sido
11	absueltos
12	,
13	también
14	estaban
15	relacionados
16	con
17	la
18	distribución
19	de
20	la
21	droga
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Otros	DET	3	det
2	cuatro	NUM	1	nummod
3	hombres	NOUN	15	nsubj
4	,	PUNCT	11	punct
5	tres	NUM	11	nsubj
6	de	ADP	8	case
7	los	DET	8	det
8	cuales	PRON	5	nmod
9	han	AUX	11	aux
10	sido	AUX	11	aux
11	absueltos	VERB	3	acl
12	,	PUNCT	11	punct
13	también	ADV	15	advmod
14	estaban	AUX	15	cop
15	relacionados	ADJ	0	root
16	con	ADP	18	case
17	la	DET	18	det
18	distribución	NOUN	15	obj
19	de	ADP	21	case
20	la	DET	21	det
21	droga	NOUN	18	nmod
22	.	PUNCT	15	punct