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: Samozřejmě existují počítačové programy, které využíváme třeba pro odvody z mezd, ale silniční daň musíme spočítat na konci roku ručně, protože zatím nevíme, jak často a kteří zaměstnanci budou používat vlastní vozidla k pracovním cestám za zákazníky.
Position	Tokenization	UPOS	Head	Deprel
1	Samozřejmě	ADV	2	advmod
2	existují	VERB	0	root
3	počítačové	ADJ	4	amod
4	programy	NOUN	2	nsubj
5	,	PUNCT	7	punct
6	které	DET	7	obj
7	využíváme	VERB	4	acl:relcl
8	třeba	ADV	10	advmod:emph
9	pro	ADP	10	case
10	odvody	NOUN	7	obl
11	z	ADP	12	case
12	mezd	NOUN	10	nmod
13	,	PUNCT	17	punct
14	ale	CCONJ	17	cc
15	silniční	ADJ	16	amod
16	daň	NOUN	18	obj
17	musíme	VERB	2	conj
18	spočítat	VERB	17	xcomp
19	na	ADP	20	case
20	konci	NOUN	18	obl
21	roku	NOUN	20	nmod
22	ručně	ADV	18	advmod
23	,	PUNCT	26	punct
24	protože	SCONJ	26	mark
25	zatím	ADV	26	advmod
26	nevíme	VERB	18	advcl
27	,	PUNCT	29	punct
28	jak	ADV	29	advmod
29	často	ADV	26	dep
30	a	CCONJ	34	cc
31	kteří	DET	32	det
32	zaměstnanci	NOUN	34	nsubj
33	budou	AUX	34	aux
34	používat	VERB	29	conj
35	vlastní	ADJ	36	amod
36	vozidla	NOUN	34	obj
37	k	ADP	39	case
38	pracovním	ADJ	39	amod
39	cestám	NOUN	34	obl
40	za	ADP	41	case
41	zákazníky	NOUN	39	nmod
42	.	PUNCT	2	punct