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: Divadlo ABC, které se nadále deklaruje jako divadlo dobré zábavy, připravuje jako první premiéru dramatizaci slavného románu Patricka Ryana Jak jsem vyhrál válku, a to v úpravě a režii svého nového šéfa Milana Schejbala.
Position	Tokenization	UPOS	Head	Deprel
1	Divadlo	NOUN	13	nsubj
2	ABC	PROPN	1	nmod
3	,	PUNCT	7	punct
4	které	DET	7	nsubj:pass
5	se	PRON	7	expl:pass
6	nadále	ADV	7	advmod
7	deklaruje	VERB	1	acl:relcl
8	jako	SCONJ	9	mark
9	divadlo	NOUN	4	xcomp
10	dobré	ADJ	11	amod
11	zábavy	NOUN	9	nmod
12	,	PUNCT	7	punct
13	připravuje	VERB	0	root
14	jako	SCONJ	16	mark
15	první	ADJ	16	amod
16	premiéru	NOUN	17	xcomp
17	dramatizaci	NOUN	13	obj
18	slavného	ADJ	19	amod
19	románu	NOUN	17	nmod
20	Patricka	PROPN	19	nmod
21	Ryana	PROPN	20	flat
22	Jak	ADV	24	advmod
23	jsem	AUX	24	aux
24	vyhrál	VERB	19	acl
25	válku	NOUN	24	obj
26	,	PUNCT	30	punct
27	a	CCONJ	30	cc
28	to	PART	27	fixed
29	v	ADP	30	case
30	úpravě	NOUN	13	obl
31	a	CCONJ	32	cc
32	režii	NOUN	30	conj
33	svého	DET	35	det
34	nového	ADJ	35	amod
35	šéfa	NOUN	32	nmod
36	Milana	PROPN	35	flat
37	Schejbala	PROPN	35	flat
38	.	PUNCT	13	punct