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:
Jde o to, aby zákon vyjadřoval vlastnická práva a jejich výkon, ale také jasně definoval omezení vlastníka ve veřejném zájmu, řekl Lux.
Postion	Tokenization
1	Jde
2	o
3	to
4	,
5	aby
6	aby
7	by
8	zákon
9	vyjadřoval
10	vlastnická
11	práva
12	a
13	jejich
14	výkon
15	,
16	ale
17	také
18	jasně
19	definoval
20	omezení
21	vlastníka
22	ve
23	veřejném
24	zájmu
25	,
26	řekl
27	Lux
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jde	VERB	25	ccomp
2	o	ADP	3	case
3	to	DET	1	obl:arg
4	,	PUNCT	8	punct
5	aby	_	None	_
6	aby	SCONJ	8	mark
7	by	AUX	8	aux
8	zákon	NOUN	8	nsubj
9	vyjadřoval	VERB	3	acl
10	vlastnická	ADJ	10	amod
11	práva	NOUN	8	obj
12	a	CCONJ	13	cc
13	jejich	DET	13	det
14	výkon	NOUN	10	conj
15	,	PUNCT	18	punct
16	ale	CCONJ	18	cc
17	také	ADV	18	advmod
18	jasně	ADV	18	advmod
19	definoval	VERB	8	conj
20	omezení	NOUN	18	obj
21	vlastníka	NOUN	19	nmod
22	ve	ADP	23	case
23	veřejném	ADJ	23	amod
24	zájmu	NOUN	18	obl
25	,	PUNCT	8	punct
26	řekl	VERB	0	root
27	Lux	PROPN	25	nsubj
28	.	PUNCT	25	punct