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:
Hejtman (Vlastimil Bedrna) v příslušně barvitém kostýmu přijíždí na ohromné trojkolce a s arogancí orientálního samovládce oslovuje své podobně přistrojené činovníky.
Postion	Tokenization
1	Hejtman
2	(
3	Vlastimil
4	Bedrna
5	)
6	v
7	příslušně
8	barvitém
9	kostýmu
10	přijíždí
11	na
12	ohromné
13	trojkolce
14	a
15	s
16	arogancí
17	orientálního
18	samovládce
19	oslovuje
20	své
21	podobně
22	přistrojené
23	činovníky
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Hejtman	NOUN	10	nsubj
2	(	PUNCT	3	punct
3	Vlastimil	PROPN	1	appos
4	Bedrna	PROPN	3	flat
5	)	PUNCT	3	punct
6	v	ADP	9	case
7	příslušně	ADV	8	advmod
8	barvitém	ADJ	9	amod
9	kostýmu	NOUN	1	nmod
10	přijíždí	VERB	0	root
11	na	ADP	13	case
12	ohromné	ADJ	13	amod
13	trojkolce	NOUN	10	obl
14	a	CCONJ	19	cc
15	s	ADP	16	case
16	arogancí	NOUN	19	obl
17	orientálního	ADJ	18	amod
18	samovládce	NOUN	16	nmod
19	oslovuje	VERB	10	conj
20	své	DET	23	det
21	podobně	ADV	22	advmod
22	přistrojené	ADJ	23	amod
23	činovníky	NOUN	19	obj
24	.	PUNCT	10	punct