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: KOUPI KRADENÉHO ZBOŽÍ jako jev morálně neospravedlnitelný zásadně odmítá přes 40 procent občanů ČSFR, ochotu vždy levně koupit kradené zboží projevila tři procenta našich občanů - vyplývá to z červencového průzkumu Institutu pro výzkum veřejného mínění.
Position	Tokenization	UPOS	Head	Deprel
1	KOUPI	NOUN	9	obj
2	KRADENÉHO	ADJ	3	amod
3	ZBOŽÍ	NOUN	1	nmod
4	jako	SCONJ	5	mark
5	jev	NOUN	1	xcomp
6	morálně	ADV	7	advmod
7	neospravedlnitelný	ADJ	5	amod
8	zásadně	ADV	9	advmod
9	odmítá	VERB	0	root
10	přes	ADP	12	case
11	40	NUM	12	nummod:gov
12	procent	NOUN	9	nsubj
13	občanů	NOUN	12	nmod
14	ČSFR	PROPN	13	nmod
15	,	PUNCT	22	punct
16	ochotu	NOUN	22	obj
17	vždy	ADV	19	advmod
18	levně	ADV	19	advmod
19	koupit	VERB	16	acl
20	kradené	ADJ	21	amod
21	zboží	NOUN	19	obj
22	projevila	VERB	9	conj
23	tři	NUM	24	nummod
24	procenta	NOUN	22	nsubj
25	našich	DET	26	det
26	občanů	NOUN	24	nmod
27	-	PUNCT	28	punct
28	vyplývá	VERB	9	conj
29	to	DET	28	nsubj
30	z	ADP	32	case
31	červencového	ADJ	32	amod
32	průzkumu	NOUN	28	obl
33	Institutu	NOUN	32	nmod
34	pro	ADP	35	case
35	výzkum	NOUN	33	nmod
36	veřejného	ADJ	37	amod
37	mínění	NOUN	35	nmod
38	.	PUNCT	9	punct