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 text: Okolo třiceti miliard korun údajně představovaly v loňském roce aktivity spojené s nelegální činností zahraničního kapitálu, jako jsou provize za sjednání cizích kapitálových účastí v českých podnicích, černé ubytování turistů v soukromí, fingované nákupy nemovitostí českými občany atd.
Position	Tokenization	UPOS	Head	Deprel
1	Okolo	ADP	3	case
2	třiceti	NUM	3	nummod
3	miliard	NOUN	6	obl:arg
4	korun	NOUN	3	nmod
5	údajně	ADV	6	advmod
6	představovaly	VERB	0	root
7	v	ADP	9	case
8	loňském	ADJ	9	amod
9	roce	NOUN	6	obl
10	aktivity	NOUN	6	nsubj
11	spojené	ADJ	10	amod
12	s	ADP	14	case
13	nelegální	ADJ	14	amod
14	činností	NOUN	11	obl:arg
15	zahraničního	ADJ	16	amod
16	kapitálu	NOUN	14	nmod
17	,	PUNCT	19	punct
18	jako	SCONJ	19	mark
19	jsou	VERB	10	acl
20	provize	NOUN	19	nsubj
21	za	ADP	22	case
22	sjednání	NOUN	20	nmod
23	cizích	ADJ	25	amod
24	kapitálových	ADJ	25	amod
25	účastí	NOUN	22	nmod
26	v	ADP	28	case
27	českých	ADJ	28	amod
28	podnicích	NOUN	25	nmod
29	,	PUNCT	31	punct
30	černé	ADJ	31	amod
31	ubytování	NOUN	20	conj
32	turistů	NOUN	31	nmod
33	v	ADP	34	case
34	soukromí	NOUN	31	nmod
35	,	PUNCT	37	punct
36	fingované	ADJ	37	amod
37	nákupy	NOUN	20	conj
38	nemovitostí	NOUN	37	nmod
39	českými	ADJ	40	amod
40	občany	NOUN	37	nmod
41	atd	ADV	37	cc
42	.	PUNCT	6	punct