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:
Una encuesta publicada ayer por la Folha de Sao Paulo destaca que siete de cada 10 brasileños creen que la crisis "escapó del control del presidente".
Postion	Tokenization
1	Una
2	encuesta
3	publicada
4	ayer
5	por
6	la
7	Folha
8	de
9	Sao
10	Paulo
11	destaca
12	que
13	siete
14	de
15	cada
16	10
17	brasileños
18	creen
19	que
20	la
21	crisis
22	"
23	escapó
24	del
25	control
26	del
27	presidente
28	"
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	encuesta	NOUN	11	nsubj
3	publicada	ADJ	2	amod
4	ayer	ADV	3	advmod
5	por	ADP	7	case
6	la	DET	7	det
7	Folha	PROPN	3	obj
8	de	ADP	9	case
9	Sao	PROPN	7	flat
10	Paulo	PROPN	9	flat
11	destaca	VERB	0	root
12	que	SCONJ	18	mark
13	siete	NUM	17	nummod
14	de	ADP	13	compound
15	cada	NUM	13	compound
16	10	NUM	13	compound
17	brasileños	NOUN	18	nsubj
18	creen	VERB	11	ccomp
19	que	SCONJ	23	mark
20	la	DET	21	det
21	crisis	NOUN	23	nsubj
22	"	PUNCT	23	punct
23	escapó	VERB	18	ccomp
24	del	ADP	25	case
25	control	NOUN	23	obl
26	del	ADP	27	case
27	presidente	NOUN	25	nmod
28	"	PUNCT	23	punct
29	.	PUNCT	11	punct