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:
Soros comentó que en Brasil "todo lo que se podía hacer mal se hizo mal" y calificó de "desastrosa" la decisión de elevar los tipos, apoyada por el FMI.
Postion	Tokenization
1	Soros
2	comentó
3	que
4	en
5	Brasil
6	"
7	todo
8	lo
9	que
10	se
11	podía
12	hacer
13	mal
14	se
15	hizo
16	mal
17	"
18	y
19	calificó
20	de
21	"
22	desastrosa
23	"
24	la
25	decisión
26	de
27	elevar
28	los
29	tipos
30	,
31	apoyada
32	por
33	el
34	FMI
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Soros	PROPN	2	nsubj
2	comentó	VERB	0	root
3	que	SCONJ	15	mark
4	en	ADP	5	case
5	Brasil	PROPN	15	obl
6	"	PUNCT	15	punct
7	todo	PRON	15	nsubj
8	lo	PRON	9	det
9	que	PRON	12	nsubj
10	se	PRON	12	expl:pass
11	podía	AUX	12	aux
12	hacer	VERB	7	acl
13	mal	ADV	12	advmod
14	se	PRON	15	expl:pass
15	hizo	VERB	2	ccomp
16	mal	ADV	15	advmod
17	"	PUNCT	15	punct
18	y	CCONJ	19	cc
19	calificó	VERB	2	conj
20	de	ADP	19	obj
21	"	PUNCT	22	punct
22	desastrosa	ADJ	20	advmod
23	"	PUNCT	22	punct
24	la	DET	25	det
25	decisión	NOUN	19	obj
26	de	ADP	27	mark
27	elevar	VERB	25	acl
28	los	DET	29	det
29	tipos	NOUN	27	obj
30	,	PUNCT	31	punct
31	apoyada	ADJ	25	amod
32	por	ADP	34	case
33	el	DET	34	det
34	FMI	PROPN	31	obj
35	.	PUNCT	2	punct