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: Populární rakouský herec, u nás známý zejména z filmů Mefisto, Plukovník Redl a Vzpomínky na Afriku, vystoupí v neděli od 11.00 hod v pražském Studiu Labyrint se čtením z díla Friedricha Torberga.
Position	Tokenization	UPOS	Head	Deprel
1	Populární	ADJ	3	amod
2	rakouský	ADJ	3	amod
3	herec	NOUN	20	nsubj
4	,	PUNCT	7	punct
5	u	ADP	6	case
6	nás	PRON	7	obl
7	známý	ADJ	3	amod
8	zejména	ADV	10	advmod:emph
9	z	ADP	10	case
10	filmů	NOUN	7	obl
11	Mefisto	PROPN	10	nmod
12	,	PUNCT	13	punct
13	Plukovník	NOUN	11	conj
14	Redl	PROPN	13	flat
15	a	CCONJ	16	cc
16	Vzpomínky	NOUN	11	conj
17	na	ADP	18	case
18	Afriku	PROPN	16	nmod
19	,	PUNCT	7	punct
20	vystoupí	VERB	0	root
21	v	ADP	22	case
22	neděli	NOUN	20	obl
23	od	ADP	25	case
24	11.00	NUM	25	nummod
25	hod	NOUN	20	obl
26	v	ADP	28	case
27	pražském	ADJ	28	amod
28	Studiu	NOUN	20	obl
29	Labyrint	NOUN	28	nmod
30	se	ADP	31	case
31	čtením	NOUN	20	obl
32	z	ADP	33	case
33	díla	NOUN	31	nmod
34	Friedricha	PROPN	33	nmod
35	Torberga	PROPN	34	flat
36	.	PUNCT	20	punct