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 text: K Vlčkově obavě, že se Správa parku snaží zvyšováním těžby o finanční soběstačnost, Benda připomněl, že stát loni dotoval provoz ochrany přírody částkou 15.7 miliónu korun a 12 miliónů dal na stavební a strojní investice.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	Vlčkově	ADJ	3	amod
3	obavě	NOUN	17	obl
4	,	PUNCT	9	punct
5	že	SCONJ	9	mark
6	se	PRON	9	expl:pv
7	Správa	NOUN	9	nsubj
8	parku	NOUN	7	nmod
9	snaží	VERB	3	acl
10	zvyšováním	NOUN	9	obl
11	těžby	NOUN	10	nmod
12	o	ADP	14	case
13	finanční	ADJ	14	amod
14	soběstačnost	NOUN	9	obl:arg
15	,	PUNCT	9	punct
16	Benda	PROPN	17	nsubj
17	připomněl	VERB	0	root
18	,	PUNCT	22	punct
19	že	SCONJ	22	mark
20	stát	NOUN	22	nsubj
21	loni	ADV	22	advmod
22	dotoval	VERB	17	ccomp
23	provoz	NOUN	22	obj
24	ochrany	NOUN	23	nmod
25	přírody	NOUN	24	nmod
26	částkou	NOUN	22	obl
27	15.7	NUM	28	nummod:gov
28	miliónu	NOUN	26	nmod
29	korun	NOUN	28	nmod
30	a	CCONJ	33	cc
31	12	NUM	32	nummod:gov
32	miliónů	NOUN	33	nsubj
33	dal	VERB	22	conj
34	na	ADP	38	case
35	stavební	ADJ	38	amod
36	a	CCONJ	37	cc
37	strojní	ADJ	35	conj
38	investice	NOUN	33	obl
39	.	PUNCT	17	punct