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:
Již titul dokumentu Nejlepší ze špatných způsobů, který v cyklu Film & Sociologie uvádí dnes ( 21.30 hod.) program ČT 2, napovídá téma: radosti i trable s obnovující se českou demokracií.
Postion	Tokenization
1	Již
2	titul
3	dokumentu
4	Nejlepší
5	ze
6	špatných
7	způsobů
8	,
9	který
10	v
11	cyklu
12	Film
13	&
14	Sociologie
15	uvádí
16	dnes
17	(
18	21.30
19	hod
20	.
21	)
22	program
23	ČT
24	2
25	,
26	napovídá
27	téma
28	:
29	radosti
30	i
31	trable
32	s
33	obnovující
34	se
35	českou
36	demokracií
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Již	ADV	2	advmod:emph
2	titul	NOUN	26	nsubj
3	dokumentu	NOUN	2	nmod
4	Nejlepší	ADJ	3	amod
5	ze	ADP	7	case
6	špatných	ADJ	7	amod
7	způsobů	NOUN	4	nmod
8	,	PUNCT	15	punct
9	který	DET	15	obj
10	v	ADP	11	case
11	cyklu	NOUN	15	obl
12	Film	NOUN	11	nmod
13	&	PUNCT	14	punct
14	Sociologie	NOUN	12	conj
15	uvádí	VERB	3	acl:relcl
16	dnes	ADV	15	advmod
17	(	PUNCT	18	punct
18	21.30	NUM	15	obl
19	hod	NOUN	18	nmod
20	.	PUNCT	19	punct
21	)	PUNCT	18	punct
22	program	NOUN	15	nsubj
23	ČT	PROPN	22	nmod
24	2	NUM	23	nummod
25	,	PUNCT	15	punct
26	napovídá	VERB	0	root
27	téma	NOUN	26	obj
28	:	PUNCT	29	punct
29	radosti	NOUN	27	nmod
30	i	CCONJ	31	cc
31	trable	NOUN	29	conj
32	s	ADP	36	case
33	obnovující	ADJ	36	amod
34	se	PRON	33	expl:pv
35	českou	ADJ	36	amod
36	demokracií	NOUN	29	nmod
37	.	PUNCT	26	punct