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: V minulém týdnu bylo možné získat na černém trhu za dolar přibližně 46800 karbovanců, podle oficiálního směnného kurzu, používaného privilegovanými dovozci a méně šťastnými vývozci, činil ovšem tento poměr 20500 karbovanců za dolar.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	minulém	ADJ	3	amod
3	týdnu	NOUN	5	obl
4	bylo	AUX	5	cop
5	možné	ADJ	0	root
6	získat	VERB	5	csubj
7	na	ADP	9	case
8	černém	ADJ	9	amod
9	trhu	NOUN	6	obl
10	za	ADP	11	case
11	dolar	NOUN	6	obl:arg
12	přibližně	ADV	13	advmod
13	46800	NUM	14	nummod:gov
14	karbovanců	NOUN	6	obj
15	,	PUNCT	29	punct
16	podle	ADP	19	case
17	oficiálního	ADJ	19	amod
18	směnného	ADJ	19	amod
19	kurzu	NOUN	29	obl
20	,	PUNCT	21	punct
21	používaného	ADJ	19	amod
22	privilegovanými	ADJ	23	amod
23	dovozci	NOUN	21	obl:arg
24	a	CCONJ	27	cc
25	méně	ADV	26	advmod
26	šťastnými	ADJ	27	amod
27	vývozci	NOUN	23	conj
28	,	PUNCT	21	punct
29	činil	VERB	5	conj
30	ovšem	CCONJ	29	cc
31	tento	DET	32	det
32	poměr	NOUN	29	nsubj
33	20500	NUM	34	nummod:gov
34	karbovanců	NOUN	29	obj
35	za	ADP	36	case
36	dolar	NOUN	34	nmod
37	.	PUNCT	5	punct