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:
Roční obrat nezákonného obchodu s uměleckými předměty ve světě dosahuje šesti miliard dolarů a mafie a organizovaný zločin vůbec se na něm podílejí stále větším dílem.
Postion	Tokenization
1	Roční
2	obrat
3	nezákonného
4	obchodu
5	s
6	uměleckými
7	předměty
8	ve
9	světě
10	dosahuje
11	šesti
12	miliard
13	dolarů
14	a
15	mafie
16	a
17	organizovaný
18	zločin
19	vůbec
20	se
21	na
22	něm
23	podílejí
24	stále
25	větším
26	dílem
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Roční	ADJ	2	amod
2	obrat	NOUN	10	nsubj
3	nezákonného	ADJ	4	amod
4	obchodu	NOUN	2	nmod
5	s	ADP	7	case
6	uměleckými	ADJ	7	amod
7	předměty	NOUN	4	nmod
8	ve	ADP	9	case
9	světě	NOUN	4	nmod
10	dosahuje	VERB	0	root
11	šesti	NUM	12	nummod
12	miliard	NOUN	10	obl:arg
13	dolarů	NOUN	12	nmod
14	a	CCONJ	23	cc
15	mafie	NOUN	23	nsubj
16	a	CCONJ	18	cc
17	organizovaný	ADJ	18	amod
18	zločin	NOUN	15	conj
19	vůbec	ADV	18	advmod
20	se	PRON	23	expl:pv
21	na	ADP	22	case
22	něm	PRON	23	obl:arg
23	podílejí	VERB	10	conj
24	stále	ADV	25	advmod
25	větším	ADJ	26	amod
26	dílem	NOUN	23	obl
27	.	PUNCT	10	punct