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:
Součástí jeho pobytu v ČR bude i návštěva Brna, kde si prohlédne citadelu Špilberk a setká se se soudci Ústavního soudu a Nejvyššího soudu ČR.
Postion	Tokenization
1	Součástí
2	jeho
3	pobytu
4	v
5	ČR
6	bude
7	i
8	návštěva
9	Brna
10	,
11	kde
12	si
13	prohlédne
14	citadelu
15	Špilberk
16	a
17	setká
18	se
19	se
20	soudci
21	Ústavního
22	soudu
23	a
24	Nejvyššího
25	soudu
26	ČR
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Součástí	NOUN	0	root
2	jeho	DET	3	det
3	pobytu	NOUN	1	nmod
4	v	ADP	5	case
5	ČR	PROPN	3	nmod
6	bude	AUX	1	cop
7	i	CCONJ	8	advmod:emph
8	návštěva	NOUN	1	nsubj
9	Brna	PROPN	8	nmod
10	,	PUNCT	13	punct
11	kde	ADV	13	advmod
12	si	PRON	13	expl:pv
13	prohlédne	VERB	9	acl:relcl
14	citadelu	NOUN	13	obj
15	Špilberk	PROPN	14	nmod
16	a	CCONJ	17	cc
17	setká	VERB	13	conj
18	se	PRON	17	expl:pv
19	se	ADP	20	case
20	soudci	NOUN	17	obl:arg
21	Ústavního	ADJ	22	amod
22	soudu	NOUN	20	nmod
23	a	CCONJ	25	cc
24	Nejvyššího	ADJ	25	amod
25	soudu	NOUN	22	conj
26	ČR	PROPN	25	nmod
27	.	PUNCT	1	punct