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:
Poplatník se závislou činností, tedy ten, který má při zaměstnání i jiný nezdanitelný příjem, podává přiznání v případě, že jeho loňský hrubý jiný nezdanitelný příjem přesáhl 2000 korun.
Postion	Tokenization
1	Poplatník
2	se
3	závislou
4	činností
5	,
6	tedy
7	ten
8	,
9	který
10	má
11	při
12	zaměstnání
13	i
14	jiný
15	nezdanitelný
16	příjem
17	,
18	podává
19	přiznání
20	v
21	případě
22	,
23	že
24	jeho
25	loňský
26	hrubý
27	jiný
28	nezdanitelný
29	příjem
30	přesáhl
31	2000
32	korun
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Poplatník	NOUN	18	nsubj
2	se	ADP	4	case
3	závislou	ADJ	4	amod
4	činností	NOUN	1	nmod
5	,	PUNCT	7	punct
6	tedy	ADV	7	cc
7	ten	DET	1	appos
8	,	PUNCT	10	punct
9	který	DET	10	nsubj
10	má	VERB	7	acl:relcl
11	při	ADP	12	case
12	zaměstnání	NOUN	10	obl
13	i	CCONJ	16	advmod:emph
14	jiný	ADJ	16	amod
15	nezdanitelný	ADJ	16	amod
16	příjem	NOUN	10	obj
17	,	PUNCT	10	punct
18	podává	VERB	0	root
19	přiznání	NOUN	18	obj
20	v	ADP	21	case
21	případě	NOUN	18	obl
22	,	PUNCT	30	punct
23	že	SCONJ	30	mark
24	jeho	DET	29	det
25	loňský	ADJ	29	amod
26	hrubý	ADJ	29	amod
27	jiný	ADJ	29	amod
28	nezdanitelný	ADJ	29	amod
29	příjem	NOUN	30	nsubj
30	přesáhl	VERB	21	ccomp
31	2000	NUM	32	nummod:gov
32	korun	NOUN	30	obj
33	.	PUNCT	18	punct