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: MŽP navíc ztrátou kompetencí v oblasti územního plánování přišlo o klíčový nástroj umožňující co nejrychleji napravovat existující ekologické škody a předcházet vzniku škod nových, převodem těchto kompetencí na ministerstvo hospodářství se stal kozel zahradníkem.
Position	Tokenization	UPOS	Head	Deprel
1	MŽP	PROPN	9	nsubj
2	navíc	ADV	9	advmod
3	ztrátou	NOUN	9	obl
4	kompetencí	NOUN	3	nmod
5	v	ADP	6	case
6	oblasti	NOUN	4	nmod
7	územního	ADJ	8	amod
8	plánování	NOUN	6	nmod
9	přišlo	VERB	0	root
10	o	ADP	12	case
11	klíčový	ADJ	12	amod
12	nástroj	NOUN	9	obl:arg
13	umožňující	ADJ	12	amod
14	co	ADV	15	advmod
15	nejrychleji	ADV	16	advmod
16	napravovat	VERB	13	xcomp
17	existující	ADJ	19	amod
18	ekologické	ADJ	19	amod
19	škody	NOUN	16	obj
20	a	CCONJ	21	cc
21	předcházet	VERB	16	conj
22	vzniku	NOUN	21	obl:arg
23	škod	NOUN	22	nmod
24	nových	ADJ	23	amod
25	,	PUNCT	33	punct
26	převodem	NOUN	33	obl
27	těchto	DET	28	det
28	kompetencí	NOUN	26	nmod
29	na	ADP	30	case
30	ministerstvo	NOUN	26	nmod
31	hospodářství	NOUN	30	nmod
32	se	PRON	33	expl:pv
33	stal	VERB	9	conj
34	kozel	NOUN	33	nsubj
35	zahradníkem	NOUN	33	obl:arg
36	.	PUNCT	9	punct