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:
Uvedl to v nedělním pravidelném rozhovoru pro rádio Echo předseda Poslanecké sněmovny Milan Uhde k otázce vlastnictví jedné z nejznámějších církevních staveb v ČR.
Postion	Tokenization
1	Uvedl
2	to
3	v
4	nedělním
5	pravidelném
6	rozhovoru
7	pro
8	rádio
9	Echo
10	předseda
11	Poslanecké
12	sněmovny
13	Milan
14	Uhde
15	k
16	otázce
17	vlastnictví
18	jedné
19	z
20	nejznámějších
21	církevních
22	staveb
23	v
24	ČR
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Uvedl	VERB	0	root
2	to	DET	1	obj
3	v	ADP	6	case
4	nedělním	ADJ	6	amod
5	pravidelném	ADJ	6	amod
6	rozhovoru	NOUN	1	obl
7	pro	ADP	8	case
8	rádio	NOUN	6	nmod
9	Echo	NOUN	8	nmod
10	předseda	NOUN	1	nsubj
11	Poslanecké	ADJ	12	amod
12	sněmovny	NOUN	10	nmod
13	Milan	PROPN	10	flat
14	Uhde	PROPN	10	flat
15	k	ADP	16	case
16	otázce	NOUN	1	obl
17	vlastnictví	NOUN	16	nmod
18	jedné	NUM	17	nummod
19	z	ADP	22	case
20	nejznámějších	ADJ	22	amod
21	církevních	ADJ	22	amod
22	staveb	NOUN	18	nmod
23	v	ADP	24	case
24	ČR	PROPN	20	obl
25	.	PUNCT	1	punct