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:
Především rozdělením Středočeského divadla Kladno a Mladá Boleslav vznikly dva nové subjekty - Středočeské divadlo Kladno a Městské divadlo Mladá Boleslav, které jako svou první původní premiéru uvede Zeyerova Radúze a Mahulenu (režie Michal Dočekal).
Postion	Tokenization
1	Především
2	rozdělením
3	Středočeského
4	divadla
5	Kladno
6	a
7	Mladá
8	Boleslav
9	vznikly
10	dva
11	nové
12	subjekty
13	-
14	Středočeské
15	divadlo
16	Kladno
17	a
18	Městské
19	divadlo
20	Mladá
21	Boleslav
22	,
23	které
24	jako
25	svou
26	první
27	původní
28	premiéru
29	uvede
30	Zeyerova
31	Radúze
32	a
33	Mahulenu
34	(
35	režie
36	Michal
37	Dočekal
38	)
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Především	ADV	9	advmod
2	rozdělením	NOUN	9	obl
3	Středočeského	ADJ	4	amod
4	divadla	NOUN	2	nmod
5	Kladno	PROPN	4	nmod
6	a	CCONJ	8	cc
7	Mladá	ADJ	8	amod
8	Boleslav	PROPN	5	conj
9	vznikly	VERB	0	root
10	dva	NUM	12	nummod
11	nové	ADJ	12	amod
12	subjekty	NOUN	9	nsubj
13	-	PUNCT	15	punct
14	Středočeské	ADJ	15	amod
15	divadlo	NOUN	12	appos
16	Kladno	PROPN	15	nmod
17	a	CCONJ	19	cc
18	Městské	ADJ	19	amod
19	divadlo	NOUN	15	conj
20	Mladá	ADJ	21	amod
21	Boleslav	PROPN	19	nmod
22	,	PUNCT	29	punct
23	které	DET	29	nsubj
24	jako	SCONJ	28	mark
25	svou	DET	28	det
26	první	ADJ	28	amod
27	původní	ADJ	28	amod
28	premiéru	NOUN	31	xcomp
29	uvede	VERB	19	acl:relcl
30	Zeyerova	ADJ	31	amod
31	Radúze	PROPN	29	obj
32	a	CCONJ	33	cc
33	Mahulenu	PROPN	31	conj
34	(	PUNCT	29	punct
35	režie	NOUN	29	dep
36	Michal	PROPN	29	dep
37	Dočekal	PROPN	36	flat
38	)	PUNCT	29	punct
39	.	PUNCT	9	punct