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:
Blanka Stárková je překladatelka a (skvěle) přetlumočila do češtiny knihu Psi z ráje, jeden ze tří ve světě známých a ceněných románů našeho hostitele.
Postion	Tokenization
1	Blanka
2	Stárková
3	je
4	překladatelka
5	a
6	(
7	skvěle
8	)
9	přetlumočila
10	do
11	češtiny
12	knihu
13	Psi
14	z
15	ráje
16	,
17	jeden
18	ze
19	tří
20	ve
21	světě
22	známých
23	a
24	ceněných
25	románů
26	našeho
27	hostitele
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Blanka	PROPN	4	nsubj
2	Stárková	PROPN	1	flat
3	je	AUX	4	cop
4	překladatelka	NOUN	0	root
5	a	CCONJ	9	cc
6	(	PUNCT	7	punct
7	skvěle	ADV	9	advmod
8	)	PUNCT	7	punct
9	přetlumočila	VERB	4	conj
10	do	ADP	11	case
11	češtiny	NOUN	9	obl
12	knihu	NOUN	9	obj
13	Psi	NOUN	12	nmod
14	z	ADP	15	case
15	ráje	NOUN	13	nmod
16	,	PUNCT	17	punct
17	jeden	NUM	12	appos
18	ze	ADP	25	case
19	tří	NUM	25	nummod
20	ve	ADP	21	case
21	světě	NOUN	22	obl
22	známých	ADJ	19	amod
23	a	CCONJ	24	cc
24	ceněných	ADJ	22	conj
25	románů	NOUN	17	nmod
26	našeho	DET	27	det
27	hostitele	NOUN	25	nmod
28	.	PUNCT	4	punct