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:
Překlad, bohužel plný těžkopádností a drobných germanismů, je dílem samotného nakladatele Ludvíka Kavína, jinak též šéfa Theater Brett ve Vídni a bývalého ředitele brněnského Národního divadla.
Postion	Tokenization
1	Překlad
2	,
3	bohužel
4	plný
5	těžkopádností
6	a
7	drobných
8	germanismů
9	,
10	je
11	dílem
12	samotného
13	nakladatele
14	Ludvíka
15	Kavína
16	,
17	jinak
18	též
19	šéfa
20	Theater
21	Brett
22	ve
23	Vídni
24	a
25	bývalého
26	ředitele
27	brněnského
28	Národního
29	divadla
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Překlad	NOUN	11	nsubj
2	,	PUNCT	1	punct
3	bohužel	PART	1	dep
4	plný	ADJ	1	dep
5	těžkopádností	NOUN	4	obl:arg
6	a	CCONJ	8	cc
7	drobných	ADJ	8	amod
8	germanismů	NOUN	5	conj
9	,	PUNCT	1	punct
10	je	AUX	11	cop
11	dílem	NOUN	0	root
12	samotného	ADJ	13	amod
13	nakladatele	NOUN	11	nmod
14	Ludvíka	PROPN	13	flat
15	Kavína	PROPN	13	flat
16	,	PUNCT	13	punct
17	jinak	ADV	13	dep
18	též	ADV	13	dep
19	šéfa	NOUN	13	dep
20	Theater	PROPN	21	nmod
21	Brett	PROPN	19	nmod
22	ve	ADP	23	case
23	Vídni	PROPN	21	nmod
24	a	CCONJ	26	cc
25	bývalého	ADJ	26	amod
26	ředitele	NOUN	19	conj
27	brněnského	ADJ	29	amod
28	Národního	ADJ	29	amod
29	divadla	NOUN	26	nmod
30	.	PUNCT	11	punct