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:
Ministr Tigrid zdůraznil, že palác je třeba zprovoznit co nejdříve, neboť stát nevyužívanou stavbu dotuje ročně 30 milióny korun.
Postion	Tokenization
1	Ministr
2	Tigrid
3	zdůraznil
4	,
5	že
6	palác
7	je
8	třeba
9	zprovoznit
10	co
11	nejdříve
12	,
13	neboť
14	stát
15	nevyužívanou
16	stavbu
17	dotuje
18	ročně
19	30
20	milióny
21	korun
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	3	nsubj
2	Tigrid	PROPN	1	flat
3	zdůraznil	VERB	0	root
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	palác	NOUN	9	obj
7	je	AUX	8	cop
8	třeba	ADJ	3	ccomp
9	zprovoznit	VERB	8	csubj
10	co	ADV	11	advmod
11	nejdříve	ADV	9	advmod
12	,	PUNCT	17	punct
13	neboť	CCONJ	17	cc
14	stát	NOUN	17	nsubj
15	nevyužívanou	ADJ	16	amod
16	stavbu	NOUN	17	obj
17	dotuje	VERB	8	conj
18	ročně	ADV	17	advmod
19	30	NUM	20	nummod
20	milióny	NOUN	17	obl:arg
21	korun	NOUN	20	nmod
22	.	PUNCT	3	punct