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:
Starosta Filip Škapa k tomu včera řekl, že mezitím se právní úprava změnila a také jirkovské zastupitelstvo vyhlášku novelizovalo podle připomínek ministerstva životního prostředí.
Postion	Tokenization
1	Starosta
2	Filip
3	Škapa
4	k
5	tomu
6	včera
7	řekl
8	,
9	že
10	mezitím
11	se
12	právní
13	úprava
14	změnila
15	a
16	také
17	jirkovské
18	zastupitelstvo
19	vyhlášku
20	novelizovalo
21	podle
22	připomínek
23	ministerstva
24	životního
25	prostředí
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Starosta	NOUN	7	nsubj
2	Filip	PROPN	1	flat
3	Škapa	PROPN	1	flat
4	k	ADP	5	case
5	tomu	DET	7	obl
6	včera	ADV	7	advmod
7	řekl	VERB	0	root
8	,	PUNCT	14	punct
9	že	SCONJ	14	mark
10	mezitím	ADV	14	advmod
11	se	PRON	14	expl:pass
12	právní	ADJ	13	amod
13	úprava	NOUN	14	nsubj:pass
14	změnila	VERB	7	ccomp
15	a	CCONJ	20	cc
16	také	ADV	18	advmod:emph
17	jirkovské	ADJ	18	amod
18	zastupitelstvo	NOUN	20	nsubj
19	vyhlášku	NOUN	20	obj
20	novelizovalo	VERB	14	conj
21	podle	ADP	22	case
22	připomínek	NOUN	20	obl
23	ministerstva	NOUN	22	nmod
24	životního	ADJ	25	amod
25	prostředí	NOUN	23	nmod
26	.	PUNCT	7	punct