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:
Minimálním výsledkem celé kauzy by měla být novelizace obou zákonů, případně dalších navazujících norem, aby propříště něco podobného nebylo možné, konstatoval.
Postion	Tokenization
1	Minimálním
2	výsledkem
3	celé
4	kauzy
5	by
6	měla
7	být
8	novelizace
9	obou
10	zákonů
11	,
12	případně
13	dalších
14	navazujících
15	norem
16	,
17	aby
18	aby
19	by
20	propříště
21	něco
22	podobného
23	nebylo
24	možné
25	,
26	konstatoval
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Minimálním	ADJ	2	amod
2	výsledkem	NOUN	6	xcomp
3	celé	ADJ	4	amod
4	kauzy	NOUN	2	nmod
5	by	AUX	6	aux
6	měla	VERB	25	ccomp
7	být	AUX	2	cop
8	novelizace	NOUN	6	nsubj
9	obou	NUM	10	nummod
10	zákonů	NOUN	8	nmod
11	,	PUNCT	15	punct
12	případně	ADV	15	cc
13	dalších	ADJ	15	amod
14	navazujících	ADJ	15	amod
15	norem	NOUN	10	conj
16	,	PUNCT	23	punct
17	aby	_	None	_
18	aby	SCONJ	23	mark
19	by	AUX	23	aux
20	propříště	ADV	23	advmod
21	něco	PRON	23	nsubj
22	podobného	ADJ	20	amod
23	nebylo	AUX	23	cop
24	možné	ADJ	6	advcl
25	,	PUNCT	6	punct
26	konstatoval	VERB	0	root
27	.	PUNCT	25	punct