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:
Když se tyhle světy začnou oddělovat, člověk může dojít jen k závěru, že ti hodní a spravedliví patří na univerzity a ti zlí a křiví do politiky.
Postion	Tokenization
1	Když
2	se
3	tyhle
4	světy
5	začnou
6	oddělovat
7	,
8	člověk
9	může
10	dojít
11	jen
12	k
13	závěru
14	,
15	že
16	ti
17	hodní
18	a
19	spravedliví
20	patří
21	na
22	univerzity
23	_
24	a
25	ti
26	zlí
27	a
28	křiví
29	do
30	politiky
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	5	mark
2	se	PRON	5	expl:pass
3	tyhle	DET	4	det
4	světy	NOUN	5	nsubj:pass
5	začnou	VERB	9	advcl
6	oddělovat	VERB	5	xcomp
7	,	PUNCT	5	punct
8	člověk	NOUN	9	nsubj
9	může	VERB	0	root
10	dojít	VERB	9	xcomp
11	jen	PART	13	advmod:emph
12	k	ADP	13	case
13	závěru	NOUN	10	obl:arg
14	,	PUNCT	20	punct
15	že	SCONJ	20	mark
16	ti	DET	20	nsubj
17	hodní	ADJ	16	amod
18	a	CCONJ	19	cc
19	spravedliví	ADJ	17	conj
20	patří	VERB	13	acl
21	na	ADP	22	case
22	univerzity	NOUN	20	obl
23	_	_	None	_
24	a	CCONJ	24	cc
25	ti	DET	20	conj
26	zlí	ADJ	24	amod
27	a	CCONJ	27	cc
28	křiví	ADJ	25	conj
29	do	ADP	29	case
30	politiky	NOUN	24	orphan
31	.	PUNCT	9	punct