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:
Un responsable policial explicó que si se confirma que el agente la llamó también "puta asquerosa", el agente será expedientado, y si le espetó también "árabe asquerosa", será juzgado.
Postion	Tokenization
1	Un
2	responsable
3	policial
4	explicó
5	que
6	si
7	se
8	confirma
9	que
10	el
11	agente
12	la
13	llamó
14	también
15	"
16	puta
17	asquerosa
18	"
19	,
20	el
21	agente
22	será
23	expedientado
24	,
25	y
26	si
27	le
28	espetó
29	también
30	"
31	árabe
32	asquerosa
33	"
34	,
35	será
36	juzgado
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	responsable	NOUN	4	nsubj
3	policial	ADJ	2	amod
4	explicó	VERB	0	root
5	que	SCONJ	23	mark
6	si	SCONJ	8	mark
7	se	PRON	8	expl:pass
8	confirma	VERB	23	advcl
9	que	SCONJ	13	mark
10	el	DET	11	det
11	agente	NOUN	13	nsubj
12	la	PRON	13	obj
13	llamó	VERB	8	csubj
14	también	ADV	13	advmod
15	"	PUNCT	16	punct
16	puta	NOUN	13	iobj
17	asquerosa	ADJ	16	amod
18	"	PUNCT	16	punct
19	,	PUNCT	8	punct
20	el	DET	21	det
21	agente	NOUN	23	nsubj
22	será	AUX	23	aux
23	expedientado	VERB	4	ccomp
24	,	PUNCT	36	punct
25	y	CCONJ	36	cc
26	si	SCONJ	28	mark
27	le	PRON	28	obj
28	espetó	VERB	36	advcl
29	también	ADV	28	advmod
30	"	PUNCT	31	punct
31	árabe	NOUN	28	obj
32	asquerosa	ADJ	31	amod
33	"	PUNCT	31	punct
34	,	PUNCT	28	punct
35	será	AUX	36	aux
36	juzgado	VERB	23	conj
37	.	PUNCT	4	punct