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:
Ministr kultury Jindřich Kabát nám řekl, že ho o této skutečnosti informoval sám Josef Svoboda, když ministr zjišťoval jeho způsobilost k výkonu ředitele Laterny magiky.
Postion	Tokenization
1	Ministr
2	kultury
3	Jindřich
4	Kabát
5	nám
6	řekl
7	,
8	že
9	ho
10	o
11	této
12	skutečnosti
13	informoval
14	sám
15	Josef
16	Svoboda
17	,
18	když
19	ministr
20	zjišťoval
21	jeho
22	způsobilost
23	k
24	výkonu
25	ředitele
26	Laterny
27	magiky
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	6	nsubj
2	kultury	NOUN	1	nmod
3	Jindřich	PROPN	1	flat
4	Kabát	PROPN	1	flat
5	nám	PRON	6	obl:arg
6	řekl	VERB	0	root
7	,	PUNCT	13	punct
8	že	SCONJ	13	mark
9	ho	PRON	13	obj
10	o	ADP	12	case
11	této	DET	12	det
12	skutečnosti	NOUN	13	obl:arg
13	informoval	VERB	6	ccomp
14	sám	DET	15	xcomp
15	Josef	PROPN	13	nsubj
16	Svoboda	PROPN	15	flat
17	,	PUNCT	20	punct
18	když	SCONJ	20	mark
19	ministr	NOUN	20	nsubj
20	zjišťoval	VERB	13	advcl
21	jeho	DET	22	det
22	způsobilost	NOUN	20	obj
23	k	ADP	24	case
24	výkonu	NOUN	22	nmod
25	ředitele	NOUN	24	nmod
26	Laterny	PROPN	25	nmod
27	magiky	NOUN	26	nmod
28	.	PUNCT	6	punct