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:
El financiero justificó su análisis diciendo que la mayoría de las medidas fiscales pedidas a Brasil han sido tomadas y que el real está ahora infravalorado.
Postion	Tokenization
1	El
2	financiero
3	justificó
4	su
5	análisis
6	diciendo
7	que
8	la
9	mayoría
10	de
11	las
12	medidas
13	fiscales
14	pedidas
15	a
16	Brasil
17	han
18	sido
19	tomadas
20	y
21	que
22	el
23	real
24	está
25	ahora
26	infravalorado
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	financiero	NOUN	3	nsubj
3	justificó	VERB	0	root
4	su	DET	5	det
5	análisis	NOUN	3	obj
6	diciendo	VERB	3	advcl
7	que	SCONJ	6	mark
8	la	DET	9	det
9	mayoría	NOUN	12	nmod
10	de	ADP	9	case
11	las	DET	9	det
12	medidas	NOUN	6	nsubj
13	fiscales	ADJ	12	amod
14	pedidas	ADJ	12	amod
15	a	ADP	16	case
16	Brasil	PROPN	14	obj
17	han	AUX	6	aux
18	sido	AUX	6	aux
19	tomadas	VERB	6	xcomp
20	y	CCONJ	26	cc
21	que	SCONJ	26	mark
22	el	DET	23	det
23	real	NOUN	26	nsubj
24	está	AUX	26	cop
25	ahora	ADV	26	advmod
26	infravalorado	ADJ	19	conj
27	.	PUNCT	3	punct