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: Ministerstvo životního prostředí si podle jeho slov nedělalo iluze, že přijde na nějakou českou cestu, protože může vycházet ze systému a koncepcí jiných zemí, které si vytvářely svou ekologickou politiku už dvacet let.
Position	Tokenization	UPOS	Head	Deprel
1	Ministerstvo	NOUN	8	nsubj
2	životního	ADJ	3	amod
3	prostředí	NOUN	1	nmod
4	si	PRON	8	obl
5	podle	ADP	7	case
6	jeho	DET	7	det
7	slov	NOUN	8	obl
8	nedělalo	VERB	0	root
9	iluze	NOUN	8	obj
10	,	PUNCT	12	punct
11	že	SCONJ	12	mark
12	přijde	VERB	9	acl
13	na	ADP	16	case
14	nějakou	DET	16	det
15	českou	ADJ	16	amod
16	cestu	NOUN	12	obl:arg
17	,	PUNCT	19	punct
18	protože	SCONJ	19	mark
19	může	VERB	12	advcl
20	vycházet	VERB	19	xcomp
21	ze	ADP	22	case
22	systému	NOUN	20	obl:arg
23	a	CCONJ	24	cc
24	koncepcí	NOUN	22	conj
25	jiných	ADJ	26	amod
26	zemí	NOUN	22	nmod
27	,	PUNCT	30	punct
28	které	DET	30	nsubj
29	si	PRON	30	obl
30	vytvářely	VERB	26	acl:relcl
31	svou	DET	33	det
32	ekologickou	ADJ	33	amod
33	politiku	NOUN	30	obj
34	už	ADV	35	advmod:emph
35	dvacet	NUM	36	nummod:gov
36	let	NOUN	30	obl
37	.	PUNCT	8	punct