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:
Kdoví , možná , že i Castro sám znovu zváží již dříve deklarovanou ochotu Španělska udělit mu azyl v případě , že se vzdá vlády na Kubě .
Postion	Tokenization
1	Kdoví
2	_
3	,
4	možná
5	,
6	že
7	i
8	Castro
9	sám
10	znovu
11	zváží
12	již
13	dříve
14	deklarovanou
15	ochotu
16	Španělska
17	udělit
18	mu
19	azyl
20	v
21	případě
22	,
23	že
24	se
25	vzdá
26	vlády
27	na
28	Kubě
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdoví	PART	0	root
2	_	_	None	_
3	,	PUNCT	3	punct
4	možná	ADV	1	conj
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	i	CCONJ	7	advmod:emph
8	Castro	PROPN	10	nsubj
9	sám	DET	7	xcomp
10	znovu	ADV	10	advmod
11	zváží	VERB	3	orphan
12	již	ADV	12	advmod
13	dříve	ADV	13	advmod
14	deklarovanou	ADJ	14	amod
15	ochotu	NOUN	10	obj
16	Španělska	PROPN	14	nmod
17	udělit	VERB	14	acl
18	mu	PRON	16	obl:arg
19	azyl	NOUN	16	obj
20	v	ADP	20	case
21	případě	NOUN	16	obl
22	,	PUNCT	24	punct
23	že	SCONJ	24	mark
24	se	PRON	24	expl:pv
25	vzdá	VERB	20	acl
26	vlády	NOUN	24	obl:arg
27	na	ADP	27	case
28	Kubě	PROPN	25	nmod
29	.	PUNCT	1	punct