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:
Ministerstvo školství intenzivně shromažďuje materiály, které by potvrdily, zda je reálné či nikoliv podat žaloby ohledně prodeje dvou budov Státního pedagogického nakladatelství (SPN).
Postion	Tokenization
1	Ministerstvo
2	školství
3	intenzivně
4	shromažďuje
5	materiály
6	,
7	které
8	by
9	potvrdily
10	,
11	zda
12	je
13	reálné
14	_
15	či
16	nikoliv
17	podat
18	žaloby
19	ohledně
20	prodeje
21	dvou
22	budov
23	Státního
24	pedagogického
25	nakladatelství
26	(
27	SPN
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministerstvo	NOUN	4	nsubj
2	školství	NOUN	1	nmod
3	intenzivně	ADV	4	advmod
4	shromažďuje	VERB	0	root
5	materiály	NOUN	4	obj
6	,	PUNCT	9	punct
7	které	DET	9	nsubj
8	by	AUX	9	aux
9	potvrdily	VERB	5	acl:relcl
10	,	PUNCT	13	punct
11	zda	SCONJ	13	mark
12	je	AUX	13	cop
13	reálné	ADJ	9	ccomp
14	_	_	None	_
15	či	CCONJ	15	cc
16	nikoliv	ADV	13	conj
17	podat	VERB	15	orphan
18	žaloby	NOUN	16	obj
19	ohledně	ADP	19	case
20	prodeje	NOUN	17	nmod
21	dvou	NUM	21	nummod
22	budov	NOUN	19	nmod
23	Státního	ADJ	24	amod
24	pedagogického	ADJ	24	amod
25	nakladatelství	NOUN	21	nmod
26	(	PUNCT	26	punct
27	SPN	PROPN	24	appos
28	)	PUNCT	26	punct
29	.	PUNCT	4	punct