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:
V případě, že by ani napodruhé nebyl vládou přijat materiál ministra Františka Bendy o státní ekologické politice, navrhne KDS koaliční schůzku na toto téma.
Postion	Tokenization
1	V
2	případě
3	,
4	že
5	by
6	ani
7	napodruhé
8	nebyl
9	vládou
10	přijat
11	materiál
12	ministra
13	Františka
14	Bendy
15	o
16	státní
17	ekologické
18	politice
19	,
20	navrhne
21	KDS
22	koaliční
23	schůzku
24	na
25	toto
26	téma
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	případě	NOUN	20	obl
3	,	PUNCT	10	punct
4	že	SCONJ	10	mark
5	by	AUX	10	aux
6	ani	CCONJ	7	advmod:emph
7	napodruhé	ADV	10	advmod
8	nebyl	AUX	10	aux:pass
9	vládou	NOUN	10	obl:arg
10	přijat	ADJ	2	amod
11	materiál	NOUN	10	nsubj:pass
12	ministra	NOUN	11	nmod
13	Františka	PROPN	12	flat
14	Bendy	PROPN	12	flat
15	o	ADP	18	case
16	státní	ADJ	18	amod
17	ekologické	ADJ	18	amod
18	politice	NOUN	11	nmod
19	,	PUNCT	10	punct
20	navrhne	VERB	0	root
21	KDS	PROPN	20	nsubj
22	koaliční	ADJ	23	amod
23	schůzku	NOUN	20	obj
24	na	ADP	26	case
25	toto	DET	26	det
26	téma	NOUN	23	nmod
27	.	PUNCT	20	punct