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:
Vztahuje se to i na pracovní cesty, zaměstnavatelem organizovaná školení včetně škod při úkonech, které je třeba provést před počátkem nebo po ukončení práce.
Postion	Tokenization
1	Vztahuje
2	se
3	to
4	i
5	na
6	pracovní
7	cesty
8	,
9	zaměstnavatelem
10	organizovaná
11	školení
12	včetně
13	škod
14	při
15	úkonech
16	,
17	které
18	je
19	třeba
20	provést
21	před
22	počátkem
23	nebo
24	po
25	ukončení
26	práce
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Vztahuje	VERB	0	root
2	se	PRON	1	expl:pv
3	to	DET	1	nsubj
4	i	CCONJ	7	advmod:emph
5	na	ADP	7	case
6	pracovní	ADJ	7	amod
7	cesty	NOUN	1	obl:arg
8	,	PUNCT	11	punct
9	zaměstnavatelem	NOUN	10	obl:arg
10	organizovaná	ADJ	11	amod
11	školení	NOUN	7	conj
12	včetně	ADP	13	case
13	škod	NOUN	7	nmod
14	při	ADP	15	case
15	úkonech	NOUN	13	nmod
16	,	PUNCT	19	punct
17	které	DET	20	obj
18	je	AUX	19	cop
19	třeba	ADJ	15	acl:relcl
20	provést	VERB	19	csubj
21	před	ADP	22	case
22	počátkem	NOUN	20	obl
23	nebo	CCONJ	25	cc
24	po	ADP	25	case
25	ukončení	NOUN	22	conj
26	práce	NOUN	22	nmod
27	.	PUNCT	1	punct