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:
Jedině ony v Čechách ještě stále dokáží proti veškeré logice věcí rozhodovat o tom, co bude vlastně v tom kterém případě občanů obecní zájem...
Postion	Tokenization
1	Jedině
2	ony
3	v
4	Čechách
5	ještě
6	stále
7	dokáží
8	proti
9	veškeré
10	logice
11	věcí
12	rozhodovat
13	o
14	tom
15	,
16	co
17	bude
18	vlastně
19	v
20	tom
21	kterém
22	případě
23	občanů
24	obecní
25	zájem
26	.
27	.
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jedině	ADV	2	advmod:emph
2	ony	PRON	7	nsubj
3	v	ADP	4	case
4	Čechách	PROPN	7	obl
5	ještě	ADV	7	advmod
6	stále	ADV	7	advmod
7	dokáží	VERB	0	root
8	proti	ADP	10	case
9	veškeré	PRON	10	nmod
10	logice	NOUN	7	obl
11	věcí	NOUN	10	nmod
12	rozhodovat	VERB	7	xcomp
13	o	ADP	14	case
14	tom	DET	12	obl:arg
15	,	PUNCT	25	punct
16	co	PRON	25	nsubj
17	bude	AUX	25	cop
18	vlastně	ADV	25	advmod
19	v	ADP	22	case
20	tom	DET	22	det
21	kterém	DET	22	det
22	případě	NOUN	25	obl
23	občanů	NOUN	22	nmod
24	obecní	ADJ	25	amod
25	zájem	NOUN	14	acl:relcl
26	.	PUNCT	7	punct
27	.	PUNCT	7	punct
28	.	PUNCT	7	punct