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 kultury se k tomuto problému ve své koncepci vyjádřilo jednou větou: Divadelní činnost privatizovat a majetek spravovaný divadly předat obcím, a to bez rozdílu typů divadel.
Postion	Tokenization
1	Ministerstvo
2	kultury
3	se
4	k
5	tomuto
6	problému
7	ve
8	své
9	koncepci
10	vyjádřilo
11	jednou
12	větou
13	:
14	Divadelní
15	činnost
16	privatizovat
17	a
18	majetek
19	spravovaný
20	divadly
21	předat
22	obcím
23	,
24	a
25	to
26	bez
27	rozdílu
28	typů
29	divadel
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministerstvo	NOUN	10	nsubj
2	kultury	NOUN	1	nmod
3	se	PRON	10	expl:pv
4	k	ADP	6	case
5	tomuto	DET	6	det
6	problému	NOUN	10	obl:arg
7	ve	ADP	9	case
8	své	DET	9	det
9	koncepci	NOUN	10	obl
10	vyjádřilo	VERB	0	root
11	jednou	NUM	12	nummod
12	větou	NOUN	10	obl
13	:	PUNCT	16	punct
14	Divadelní	ADJ	15	amod
15	činnost	NOUN	16	obj
16	privatizovat	VERB	12	appos
17	a	CCONJ	21	cc
18	majetek	NOUN	21	obj
19	spravovaný	ADJ	18	amod
20	divadly	NOUN	19	obl:arg
21	předat	VERB	16	conj
22	obcím	NOUN	21	obl:arg
23	,	PUNCT	27	punct
24	a	CCONJ	27	cc
25	to	PART	24	fixed
26	bez	ADP	27	case
27	rozdílu	NOUN	16	obl
28	typů	NOUN	27	nmod
29	divadel	NOUN	28	nmod
30	.	PUNCT	10	punct