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:
Después de varias horas llamando a la puerta de la vivienda e intentando conectar con la familia por teléfono, el vecino decidió exponer sus sospechas a los agentes.
Postion	Tokenization
1	Después
2	de
3	varias
4	horas
5	llamando
6	a
7	la
8	puerta
9	de
10	la
11	vivienda
12	e
13	intentando
14	conectar
15	con
16	la
17	familia
18	por
19	teléfono
20	,
21	el
22	vecino
23	decidió
24	exponer
25	sus
26	sospechas
27	a
28	los
29	agentes
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	23	advmod
2	de	ADP	4	case
3	varias	DET	4	det
4	horas	NOUN	1	obl
5	llamando	VERB	4	acl
6	a	ADP	8	case
7	la	DET	8	det
8	puerta	NOUN	5	obl
9	de	ADP	11	case
10	la	DET	11	det
11	vivienda	NOUN	8	nmod
12	e	CCONJ	13	cc
13	intentando	VERB	5	conj
14	conectar	VERB	13	xcomp
15	con	ADP	17	case
16	la	DET	17	det
17	familia	NOUN	14	obj
18	por	ADP	19	case
19	teléfono	NOUN	13	obl
20	,	PUNCT	1	punct
21	el	DET	22	det
22	vecino	NOUN	23	nsubj
23	decidió	VERB	0	root
24	exponer	VERB	23	xcomp
25	sus	DET	26	det
26	sospechas	NOUN	24	obj
27	a	ADP	29	case
28	los	DET	29	det
29	agentes	NOUN	24	obj
30	.	PUNCT	23	punct