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:
"Es increíble que el Gobierno ignore, por ejemplo, si hay terroristas detrás de esas cuentas", aseguró.
Postion	Tokenization
1	"
2	Es
3	increíble
4	que
5	el
6	Gobierno
7	ignore
8	,
9	por
10	ejemplo
11	,
12	si
13	hay
14	terroristas
15	detrás
16	de
17	esas
18	cuentas
19	"
20	,
21	aseguró
22	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Es	AUX	3	cop
3	increíble	ADJ	21	ccomp
4	que	SCONJ	7	mark
5	el	DET	6	det
6	Gobierno	PROPN	7	nsubj
7	ignore	VERB	3	csubj
8	,	PUNCT	9	punct
9	por	ADP	7	advmod
10	ejemplo	NOUN	9	fixed
11	,	PUNCT	9	punct
12	si	SCONJ	13	mark
13	hay	AUX	7	ccomp
14	terroristas	NOUN	13	obj
15	detrás	ADV	18	case
16	de	ADP	15	fixed
17	esas	DET	18	det
18	cuentas	NOUN	13	obl
19	"	PUNCT	3	punct
20	,	PUNCT	3	punct
21	aseguró	VERB	0	root
22	.	PUNCT	21	punct