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:
Teze materiálu, jejichž zpracováním vláda ministra Bendu pověřila, by podle tiskového mluvčí ministerstva životního prostředí Františka Staňka měly být v těchto dnech projednávány na poradě ministrů.
Postion	Tokenization
1	Teze
2	materiálu
3	,
4	jejichž
5	zpracováním
6	vláda
7	ministra
8	Bendu
9	pověřila
10	,
11	by
12	podle
13	tiskového
14	mluvčí
15	ministerstva
16	životního
17	prostředí
18	Františka
19	Staňka
20	měly
21	být
22	v
23	těchto
24	dnech
25	projednávány
26	na
27	poradě
28	ministrů
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Teze	NOUN	20	nsubj
2	materiálu	NOUN	1	nmod
3	,	PUNCT	9	punct
4	jejichž	DET	5	det
5	zpracováním	NOUN	9	obl:arg
6	vláda	NOUN	9	nsubj
7	ministra	NOUN	9	obj
8	Bendu	PROPN	7	flat
9	pověřila	VERB	1	acl:relcl
10	,	PUNCT	9	punct
11	by	AUX	20	aux
12	podle	ADP	14	case
13	tiskového	ADJ	14	amod
14	mluvčí	NOUN	20	obl
15	ministerstva	NOUN	14	nmod
16	životního	ADJ	17	amod
17	prostředí	NOUN	15	nmod
18	Františka	PROPN	14	flat
19	Staňka	PROPN	14	flat
20	měly	VERB	0	root
21	být	AUX	25	aux:pass
22	v	ADP	24	case
23	těchto	DET	24	det
24	dnech	NOUN	25	obl
25	projednávány	ADJ	20	obj
26	na	ADP	27	case
27	poradě	NOUN	25	obl
28	ministrů	NOUN	27	nmod
29	.	PUNCT	20	punct