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:
Podle právní analýzy, kterou vypracoval Kalvodův Úřad pro legislativu, je možné, aby bylo jiné majetkové řešení vodního koryta a jiné v něm tekoucí vody.
Postion	Tokenization
1	Podle
2	právní
3	analýzy
4	,
5	kterou
6	vypracoval
7	Kalvodův
8	Úřad
9	pro
10	legislativu
11	,
12	je
13	možné
14	,
15	aby
16	aby
17	by
18	bylo
19	jiné
20	majetkové
21	řešení
22	vodního
23	koryta
24	_
25	a
26	jiné
27	v
28	něm
29	tekoucí
30	vody
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	právní	ADJ	3	amod
3	analýzy	NOUN	13	obl
4	,	PUNCT	6	punct
5	kterou	DET	6	obj
6	vypracoval	VERB	3	acl:relcl
7	Kalvodův	ADJ	8	amod
8	Úřad	NOUN	6	nsubj
9	pro	ADP	10	case
10	legislativu	NOUN	8	nmod
11	,	PUNCT	6	punct
12	je	AUX	13	cop
13	možné	ADJ	0	root
14	,	PUNCT	17	punct
15	aby	_	None	_
16	aby	SCONJ	17	mark
17	by	AUX	17	aux
18	bylo	VERB	13	csubj
19	jiné	ADJ	20	amod
20	majetkové	ADJ	20	amod
21	řešení	NOUN	17	nsubj
22	vodního	ADJ	22	amod
23	koryta	NOUN	20	nmod
24	_	_	None	_
25	a	CCONJ	24	cc
26	jiné	ADJ	20	conj
27	v	ADP	26	case
28	něm	PRON	27	obl
29	tekoucí	ADJ	28	amod
30	vody	NOUN	24	orphan
31	.	PUNCT	13	punct