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:
Mejía advirtió que se terminó la era de las evasiones fiscales y anunció "la última amnistía fiscal" para quienes han evadido el pago de los impuestos.
Postion	Tokenization
1	Mejía
2	advirtió
3	que
4	se
5	terminó
6	la
7	era
8	de
9	las
10	evasiones
11	fiscales
12	y
13	anunció
14	"
15	la
16	última
17	amnistía
18	fiscal
19	"
20	para
21	quienes
22	han
23	evadido
24	el
25	pago
26	de
27	los
28	impuestos
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Mejía	PROPN	2	nsubj
2	advirtió	VERB	0	root
3	que	SCONJ	5	mark
4	se	PRON	5	expl:pv
5	terminó	VERB	2	ccomp
6	la	PRON	7	nmod
7	era	NOUN	5	nsubj:pass
8	de	ADP	10	case
9	las	DET	10	det
10	evasiones	NOUN	7	nmod
11	fiscales	ADJ	10	amod
12	y	CCONJ	13	cc
13	anunció	VERB	2	conj
14	"	PUNCT	17	punct
15	la	DET	17	det
16	última	ADJ	17	amod
17	amnistía	NOUN	13	obj
18	fiscal	ADJ	17	amod
19	"	PUNCT	17	punct
20	para	ADP	23	mark
21	quienes	PRON	23	nsubj
22	han	AUX	23	aux
23	evadido	VERB	17	acl
24	el	DET	25	det
25	pago	NOUN	23	obj
26	de	ADP	28	case
27	los	DET	28	det
28	impuestos	NOUN	25	nmod
29	.	PUNCT	2	punct