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:
Přitom jedna miliarda připadá podle analýzy ČNB na nezdaněné důchody podnikatelů ze sobotní a nedělní práce, deset miliard korun na příjmy zaměstnanců mimo legální pracovní poměr a klasických víkendových melouchářů.
Postion	Tokenization
1	Přitom
2	jedna
3	miliarda
4	připadá
5	podle
6	analýzy
7	ČNB
8	na
9	nezdaněné
10	důchody
11	podnikatelů
12	ze
13	sobotní
14	a
15	nedělní
16	práce
17	_
18	,
19	deset
20	miliard
21	korun
22	na
23	příjmy
24	zaměstnanců
25	mimo
26	legální
27	pracovní
28	poměr
29	a
30	klasických
31	víkendových
32	melouchářů
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Přitom	ADV	4	advmod
2	jedna	NUM	3	nummod
3	miliarda	NOUN	4	nsubj
4	připadá	VERB	0	root
5	podle	ADP	6	case
6	analýzy	NOUN	4	obl
7	ČNB	PROPN	6	nmod
8	na	ADP	10	case
9	nezdaněné	ADJ	10	amod
10	důchody	NOUN	4	obl
11	podnikatelů	NOUN	10	nmod
12	ze	ADP	16	case
13	sobotní	ADJ	16	amod
14	a	CCONJ	15	cc
15	nedělní	ADJ	13	conj
16	práce	NOUN	10	nmod
17	_	_	None	_
18	,	PUNCT	19	punct
19	deset	NUM	19	nummod:gov
20	miliard	NOUN	4	conj
21	korun	NOUN	19	nmod
22	na	ADP	22	case
23	příjmy	NOUN	19	orphan
24	zaměstnanců	NOUN	22	nmod
25	mimo	ADP	27	case
26	legální	ADJ	27	amod
27	pracovní	ADJ	27	amod
28	poměr	NOUN	23	nmod
29	a	CCONJ	31	cc
30	klasických	ADJ	31	amod
31	víkendových	ADJ	31	amod
32	melouchářů	NOUN	23	conj
33	.	PUNCT	4	punct