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 text: Na otázku LN, zda mohla být Breda prodána Kolkovi za nižší cenu bez svolení ministerstva privatizace, ministr odpověděl, že se tak stalo na základě ocenění majetku, které bude předmětem šetření NKÚ.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	otázku	NOUN	20	obl:arg
3	LN	PROPN	2	nmod
4	,	PUNCT	6	punct
5	zda	SCONJ	6	mark
6	mohla	VERB	2	acl
7	být	AUX	9	aux:pass
8	Breda	PROPN	6	nsubj
9	prodána	ADJ	6	obj
10	Kolkovi	PROPN	9	obl:arg
11	za	ADP	13	case
12	nižší	ADJ	13	amod
13	cenu	NOUN	9	obl
14	bez	ADP	15	case
15	svolení	NOUN	9	obl
16	ministerstva	NOUN	15	nmod
17	privatizace	NOUN	16	nmod
18	,	PUNCT	6	punct
19	ministr	NOUN	20	nsubj
20	odpověděl	VERB	0	root
21	,	PUNCT	25	punct
22	že	SCONJ	25	mark
23	se	PRON	25	expl:pv
24	tak	ADV	25	advmod
25	stalo	VERB	20	ccomp
26	na	ADP	28	case
27	základě	NOUN	26	fixed
28	ocenění	NOUN	25	obl
29	majetku	NOUN	28	nmod
30	,	PUNCT	33	punct
31	které	DET	33	nsubj
32	bude	AUX	33	cop
33	předmětem	NOUN	28	acl:relcl
34	šetření	NOUN	33	nmod
35	NKÚ	PROPN	34	nmod
36	.	PUNCT	20	punct