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: Otázkou je jednak to, kolik zdrojů má být na odstraňování ekologických škod a na útlum ekologicky škodlivých činností věnováno, a dále to, jak zajistit, že budou tyto zdroje využity tím nejefektivnějším způsobem.
Position	Tokenization	UPOS	Head	Deprel
1	Otázkou	NOUN	0	root
2	je	AUX	1	cop
3	jednak	CCONJ	1	advmod
4	to	DET	1	nsubj
5	,	PUNCT	8	punct
6	kolik	DET	7	det:numgov
7	zdrojů	NOUN	8	nsubj
8	má	VERB	4	acl
9	být	AUX	20	aux:pass
10	na	ADP	11	case
11	odstraňování	NOUN	20	obl:arg
12	ekologických	ADJ	13	amod
13	škod	NOUN	11	nmod
14	a	CCONJ	16	cc
15	na	ADP	16	case
16	útlum	NOUN	11	conj
17	ekologicky	ADV	18	advmod
18	škodlivých	ADJ	19	amod
19	činností	NOUN	16	nmod
20	věnováno	ADJ	8	obj
21	_	_	None	_
22	,	PUNCT	23	punct
23	a	CCONJ	23	cc
24	dále	ADV	1	conj
25	to	DET	23	orphan
26	,	PUNCT	27	punct
27	jak	ADV	27	advmod
28	zajistit	VERB	24	acl
29	,	PUNCT	33	punct
30	že	SCONJ	33	mark
31	budou	AUX	33	aux:pass
32	tyto	DET	32	det
33	zdroje	NOUN	33	nsubj:pass
34	využity	ADJ	27	obj
35	tím	DET	36	det
36	nejefektivnějším	ADJ	36	amod
37	způsobem	NOUN	33	obl
38	.	PUNCT	1	punct