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:
s podobným chováním se setkáváme při modelování neuronových sítí, při studiu modelů popisujících šíření epidemií či chování voličů při volbách, při optimalizaci těžby ropy, ...
Postion	Tokenization
1	s
2	podobným
3	chováním
4	se
5	setkáváme
6	při
7	modelování
8	neuronových
9	sítí
10	,
11	při
12	studiu
13	modelů
14	popisujících
15	šíření
16	epidemií
17	či
18	chování
19	voličů
20	při
21	volbách
22	,
23	při
24	optimalizaci
25	těžby
26	ropy
27	,
28	.
29	.
30	.
Position	Tokenization	UPOS	Head	Deprel
1	s	ADP	3	case
2	podobným	ADJ	3	amod
3	chováním	NOUN	5	obl:arg
4	se	PRON	5	expl:pv
5	setkáváme	VERB	0	root
6	při	ADP	7	case
7	modelování	NOUN	5	obl
8	neuronových	ADJ	9	amod
9	sítí	NOUN	7	nmod
10	,	PUNCT	12	punct
11	při	ADP	12	case
12	studiu	NOUN	7	conj
13	modelů	NOUN	12	nmod
14	popisujících	ADJ	13	amod
15	šíření	NOUN	14	obj
16	epidemií	NOUN	15	nmod
17	či	CCONJ	18	cc
18	chování	NOUN	15	conj
19	voličů	NOUN	18	nmod
20	při	ADP	21	case
21	volbách	NOUN	18	nmod
22	,	PUNCT	24	punct
23	při	ADP	24	case
24	optimalizaci	NOUN	7	conj
25	těžby	NOUN	24	nmod
26	ropy	NOUN	25	nmod
27	,	PUNCT	5	punct
28	.	PUNCT	5	punct
29	.	PUNCT	5	punct
30	.	PUNCT	5	punct