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: V zítřejším pokračování komediálně laděného politického cyklu ( 21.45 na F1) plní Jiří Lábus, podle vlastních slov, nejtěžší úkol své herecké kariéry: dabuje legendární projev Miloše Jakeše z Červeného Hrádku.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	zítřejším	ADJ	3	amod
3	pokračování	NOUN	14	obl
4	komediálně	ADV	5	advmod
5	laděného	ADJ	7	amod
6	politického	ADJ	7	amod
7	cyklu	NOUN	3	nmod
8	(	PUNCT	7	punct
9	21.45	NUM	7	dep
10	na	ADP	11	case
11	F	NOUN	7	dep
12	1	NUM	11	nummod
13	)	PUNCT	7	punct
14	plní	VERB	0	root
15	Jiří	PROPN	14	nsubj
16	Lábus	PROPN	15	flat
17	,	PUNCT	20	punct
18	podle	ADP	20	case
19	vlastních	ADJ	20	amod
20	slov	NOUN	14	obl
21	,	PUNCT	20	punct
22	nejtěžší	ADJ	23	amod
23	úkol	NOUN	14	obj
24	své	DET	26	det
25	herecké	ADJ	26	amod
26	kariéry	NOUN	23	nmod
27	:	PUNCT	28	punct
28	dabuje	VERB	23	appos
29	legendární	ADJ	30	amod
30	projev	NOUN	28	obj
31	Miloše	PROPN	30	nmod
32	Jakeše	PROPN	31	flat
33	z	ADP	35	case
34	Červeného	ADJ	35	amod
35	Hrádku	NOUN	30	nmod
36	.	PUNCT	14	punct