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:
Rybářství Perca ukradl zatím neznámý pachatel z kotviště v obci Zahrádka u přehrady Želivka lodní motor, jehož cena byla vyčíslena na 100000 korun.
Postion	Tokenization
1	Rybářství
2	Perca
3	ukradl
4	zatím
5	neznámý
6	pachatel
7	z
8	kotviště
9	v
10	obci
11	Zahrádka
12	u
13	přehrady
14	Želivka
15	lodní
16	motor
17	,
18	jehož
19	cena
20	byla
21	vyčíslena
22	na
23	100000
24	korun
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Rybářství	NOUN	3	obl:arg
2	Perca	PROPN	1	nmod
3	ukradl	VERB	0	root
4	zatím	ADV	5	advmod
5	neznámý	ADJ	6	amod
6	pachatel	NOUN	3	nsubj
7	z	ADP	8	case
8	kotviště	NOUN	3	obl
9	v	ADP	10	case
10	obci	NOUN	8	nmod
11	Zahrádka	NOUN	10	nmod
12	u	ADP	13	case
13	přehrady	NOUN	10	nmod
14	Želivka	PROPN	13	nmod
15	lodní	ADJ	16	amod
16	motor	NOUN	3	obj
17	,	PUNCT	21	punct
18	jehož	PRON	19	nmod
19	cena	NOUN	21	nsubj:pass
20	byla	AUX	21	aux:pass
21	vyčíslena	ADJ	16	amod
22	na	ADP	24	case
23	100000	NUM	24	nummod:gov
24	korun	NOUN	21	obl
25	.	PUNCT	3	punct