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:
Největší část - 30 mld. korun - z odhadovaného objemu šedé ekonomiky v České republice přisuzuje analýza černému stánkovému prodeji, příležitostné a sezonní práci, prostituci apod.
Postion	Tokenization
1	Největší
2	část
3	-
4	30
5	mld
6	.
7	korun
8	-
9	z
10	odhadovaného
11	objemu
12	šedé
13	ekonomiky
14	v
15	České
16	republice
17	přisuzuje
18	analýza
19	černému
20	stánkovému
21	prodeji
22	,
23	příležitostné
24	a
25	sezonní
26	práci
27	,
28	prostituci
29	apod
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	2	amod
2	část	NOUN	17	obj
3	-	PUNCT	4	punct
4	30	NUM	2	appos
5	mld	NOUN	4	nmod
6	.	PUNCT	5	punct
7	korun	NOUN	5	nmod
8	-	PUNCT	4	punct
9	z	ADP	11	case
10	odhadovaného	ADJ	11	amod
11	objemu	NOUN	2	nmod
12	šedé	ADJ	13	amod
13	ekonomiky	NOUN	11	nmod
14	v	ADP	16	case
15	České	ADJ	16	amod
16	republice	NOUN	13	nmod
17	přisuzuje	VERB	0	root
18	analýza	NOUN	17	nsubj
19	černému	ADJ	21	amod
20	stánkovému	ADJ	21	amod
21	prodeji	NOUN	17	obl:arg
22	,	PUNCT	26	punct
23	příležitostné	ADJ	26	amod
24	a	CCONJ	25	cc
25	sezonní	ADJ	23	conj
26	práci	NOUN	21	conj
27	,	PUNCT	28	punct
28	prostituci	NOUN	21	conj
29	apod	ADV	28	cc
30	.	PUNCT	17	punct