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:
K vidění jsou díla Aricha Brauera, Ernsta Fuchse, Rudolfa Hausnera a Antona Lehmdena, tedy těch nejznámějších ze skupiny, která se výrazněji začala prosazovat v běhu šedesátých let.
Postion	Tokenization
1	K
2	vidění
3	jsou
4	díla
5	Aricha
6	Brauera
7	,
8	Ernsta
9	Fuchse
10	,
11	Rudolfa
12	Hausnera
13	a
14	Antona
15	Lehmdena
16	,
17	tedy
18	těch
19	nejznámějších
20	ze
21	skupiny
22	,
23	která
24	se
25	výrazněji
26	začala
27	prosazovat
28	v
29	běhu
30	šedesátých
31	let
32	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	vidění	NOUN	3	obl
3	jsou	VERB	0	root
4	díla	NOUN	3	nsubj
5	Aricha	PROPN	4	nmod
6	Brauera	PROPN	5	flat
7	,	PUNCT	8	punct
8	Ernsta	PROPN	5	conj
9	Fuchse	PROPN	8	flat
10	,	PUNCT	11	punct
11	Rudolfa	PROPN	5	conj
12	Hausnera	PROPN	11	flat
13	a	CCONJ	14	cc
14	Antona	PROPN	5	conj
15	Lehmdena	PROPN	14	flat
16	,	PUNCT	18	punct
17	tedy	ADV	18	cc
18	těch	DET	5	appos
19	nejznámějších	ADJ	18	amod
20	ze	ADP	21	case
21	skupiny	NOUN	18	nmod
22	,	PUNCT	26	punct
23	která	DET	26	nsubj
24	se	PRON	27	obj
25	výrazněji	ADV	27	advmod
26	začala	VERB	21	acl:relcl
27	prosazovat	VERB	26	xcomp
28	v	ADP	29	case
29	běhu	NOUN	26	obl
30	šedesátých	ADJ	31	amod
31	let	NOUN	29	nmod
32	.	PUNCT	3	punct