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:
Výnosný tisk bankovek I přes klesající inflaci ve světě, a tedy nižší potřebu peněz v oběhu, je tisk bankovek a výroba bankovkového papíru jedním z nejlukrativnějších odvětví.
Postion	Tokenization
1	Výnosný
2	tisk
3	bankovek
4	I
5	přes
6	klesající
7	inflaci
8	ve
9	světě
10	,
11	a
12	tedy
13	nižší
14	potřebu
15	peněz
16	v
17	oběhu
18	,
19	je
20	tisk
21	bankovek
22	a
23	výroba
24	bankovkového
25	papíru
26	jedním
27	z
28	nejlukrativnějších
29	odvětví
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Výnosný	ADJ	2	amod
2	tisk	NOUN	0	root
3	bankovek	NOUN	2	nmod
4	I	CCONJ	7	advmod:emph
5	přes	ADP	7	case
6	klesající	ADJ	7	amod
7	inflaci	NOUN	26	obl
8	ve	ADP	9	case
9	světě	NOUN	7	nmod
10	,	PUNCT	14	punct
11	a	CCONJ	14	cc
12	tedy	ADV	14	cc
13	nižší	ADJ	14	amod
14	potřebu	NOUN	7	conj
15	peněz	NOUN	14	nmod
16	v	ADP	17	case
17	oběhu	NOUN	15	nmod
18	,	PUNCT	7	punct
19	je	AUX	26	cop
20	tisk	NOUN	26	nsubj
21	bankovek	NOUN	20	nmod
22	a	CCONJ	23	cc
23	výroba	NOUN	20	conj
24	bankovkového	ADJ	25	amod
25	papíru	NOUN	23	nmod
26	jedním	NUM	2	parataxis
27	z	ADP	29	case
28	nejlukrativnějších	ADJ	29	amod
29	odvětví	NOUN	26	nmod
30	.	PUNCT	2	punct