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:
Celkově by se čtyři různé výpočty pojistného, tj. na zdravotní pojištění, sociální zabezpečení, za zaměstnance a za zaměstnavatele, nahradily jednou srážkou z hrubé mzdy zaměstnance.
Postion	Tokenization
1	Celkově
2	by
3	se
4	čtyři
5	různé
6	výpočty
7	pojistného
8	,
9	tj
10	.
11	na
12	zdravotní
13	pojištění
14	,
15	sociální
16	zabezpečení
17	,
18	za
19	zaměstnance
20	a
21	za
22	zaměstnavatele
23	,
24	nahradily
25	jednou
26	srážkou
27	z
28	hrubé
29	mzdy
30	zaměstnance
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Celkově	ADV	24	advmod
2	by	AUX	24	aux
3	se	PRON	24	expl:pass
4	čtyři	NUM	6	nummod
5	různé	ADJ	6	amod
6	výpočty	NOUN	24	nsubj:pass
7	pojistného	NOUN	6	nmod
8	,	PUNCT	19	punct
9	tj	CCONJ	19	cc
10	.	PUNCT	19	punct
11	na	ADP	13	case
12	zdravotní	ADJ	13	amod
13	pojištění	NOUN	19	dep
14	,	PUNCT	16	punct
15	sociální	ADJ	16	amod
16	zabezpečení	NOUN	13	conj
17	,	PUNCT	19	punct
18	za	ADP	19	case
19	zaměstnance	NOUN	6	appos
20	a	CCONJ	22	cc
21	za	ADP	22	case
22	zaměstnavatele	NOUN	19	conj
23	,	PUNCT	19	punct
24	nahradily	VERB	0	root
25	jednou	NUM	26	nummod
26	srážkou	NOUN	24	obl:arg
27	z	ADP	29	case
28	hrubé	ADJ	29	amod
29	mzdy	NOUN	26	nmod
30	zaměstnance	NOUN	29	nmod
31	.	PUNCT	24	punct