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:
Souvisí to s naší životosprávou, zejména s nadměrným požíváním tuků, omezeným pohybem atd., vysvětluje vedoucí oddělení hygieny výživy KHS Č. Budějovice Peter Horan.
Postion	Tokenization
1	Souvisí
2	to
3	s
4	naší
5	životosprávou
6	,
7	zejména
8	s
9	nadměrným
10	požíváním
11	tuků
12	,
13	omezeným
14	pohybem
15	atd
16	.
17	,
18	vysvětluje
19	vedoucí
20	oddělení
21	hygieny
22	výživy
23	KHS
24	Č
25	.
26	Budějovice
27	Peter
28	Horan
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Souvisí	VERB	18	ccomp
2	to	DET	1	nsubj
3	s	ADP	5	case
4	naší	DET	5	det
5	životosprávou	NOUN	1	obl:arg
6	,	PUNCT	10	punct
7	zejména	ADV	10	advmod:emph
8	s	ADP	10	case
9	nadměrným	ADJ	10	amod
10	požíváním	NOUN	5	conj
11	tuků	NOUN	10	nmod
12	,	PUNCT	14	punct
13	omezeným	ADJ	14	amod
14	pohybem	NOUN	10	conj
15	atd	ADV	14	cc
16	.	PUNCT	10	punct
17	,	PUNCT	1	punct
18	vysvětluje	VERB	0	root
19	vedoucí	NOUN	18	nsubj
20	oddělení	NOUN	19	nmod
21	hygieny	NOUN	20	nmod
22	výživy	NOUN	21	nmod
23	KHS	PROPN	20	nmod
24	Č	ADJ	26	amod
25	.	PUNCT	24	punct
26	Budějovice	PROPN	20	nmod
27	Peter	PROPN	19	flat
28	Horan	PROPN	19	flat
29	.	PUNCT	18	punct