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: A opět, i jednoduché modely (kdy např. každý volič modifikuje svůj názor tak, aby byl s velkou pravděpodobností ve shodě s většinovým názorem v jeho nejbližším okolí) vedou k fázovému přechodu.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	2	cc
2	opět	ADV	0	root
3	,	PUNCT	34	punct
4	i	CCONJ	6	advmod:emph
5	jednoduché	ADJ	6	amod
6	modely	NOUN	34	nsubj
7	(	PUNCT	13	punct
8	kdy	ADV	13	advmod
9	např	ADV	12	cc
10	.	PUNCT	12	punct
11	každý	DET	12	det
12	volič	NOUN	13	nsubj
13	modifikuje	VERB	6	acl:relcl
14	svůj	DET	15	det
15	názor	NOUN	13	obj
16	tak	ADV	13	advmod
17	,	PUNCT	20	punct
18	aby	_	None	_
19	aby	SCONJ	20	mark
20	by	AUX	20	aux
21	byl	VERB	13	advcl
22	s	ADP	23	case
23	velkou	ADJ	23	amod
24	pravděpodobností	NOUN	20	obl
25	ve	ADP	25	case
26	shodě	NOUN	20	obl
27	s	ADP	28	case
28	většinovým	ADJ	28	amod
29	názorem	NOUN	25	nmod
30	v	ADP	32	case
31	jeho	DET	32	det
32	nejbližším	ADJ	32	amod
33	okolí	NOUN	28	nmod
34	)	PUNCT	13	punct
35	vedou	VERB	2	conj
36	k	ADP	37	case
37	fázovému	ADJ	37	amod
38	přechodu	NOUN	34	obl
39	.	PUNCT	2	punct