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: Ministr Kočárník (ODS) jistě ví, že dalšího bobtnajícího přebytku by si všimly konkurenční politické strany, a tak si s ofenzívou pospíšil, aby "nápad" s markantnějším snížením daní nenesl cizí copyright.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	7	nsubj
2	Kočárník	PROPN	1	flat
3	(	PUNCT	1	punct
4	ODS	PROPN	1	dep
5	)	PUNCT	1	punct
6	jistě	ADV	7	advmod
7	ví	VERB	0	root
8	,	PUNCT	15	punct
9	že	SCONJ	15	mark
10	dalšího	ADJ	12	amod
11	bobtnajícího	ADJ	12	amod
12	přebytku	NOUN	15	obl:arg
13	by	AUX	15	aux
14	si	PRON	15	expl:pv
15	všimly	VERB	7	ccomp
16	konkurenční	ADJ	18	amod
17	politické	ADJ	18	amod
18	strany	NOUN	15	nsubj
19	,	PUNCT	25	punct
20	a	CCONJ	25	cc
21	tak	CCONJ	25	cc
22	si	PRON	25	expl:pv
23	s	ADP	24	case
24	ofenzívou	NOUN	25	obl:arg
25	pospíšil	VERB	7	conj
26	,	PUNCT	36	punct
27	aby	_	None	_
28	aby	SCONJ	36	mark
29	by	AUX	36	aux
30	"	PUNCT	30	punct
31	nápad	NOUN	36	nsubj
32	"	PUNCT	30	punct
33	s	ADP	34	case
34	markantnějším	ADJ	34	amod
35	snížením	NOUN	30	nmod
36	daní	NOUN	34	nmod
37	nenesl	VERB	25	advcl
38	cizí	ADJ	38	amod
39	copyright	NOUN	36	obj
40	.	PUNCT	7	punct