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:
Kromě všestranné činnosti této významné osobnosti českého veřejného života druhé poloviny minulého století přibližuje i podobu někdejšího Českého průmyslového muzea, které Náprstek založil.
Postion	Tokenization
1	Kromě
2	všestranné
3	činnosti
4	této
5	významné
6	osobnosti
7	českého
8	veřejného
9	života
10	druhé
11	poloviny
12	minulého
13	století
14	přibližuje
15	i
16	podobu
17	někdejšího
18	Českého
19	průmyslového
20	muzea
21	,
22	které
23	Náprstek
24	založil
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Kromě	ADP	3	case
2	všestranné	ADJ	3	amod
3	činnosti	NOUN	14	obl
4	této	DET	6	det
5	významné	ADJ	6	amod
6	osobnosti	NOUN	3	nmod
7	českého	ADJ	9	amod
8	veřejného	ADJ	9	amod
9	života	NOUN	6	nmod
10	druhé	ADJ	11	amod
11	poloviny	NOUN	9	nmod
12	minulého	ADJ	13	amod
13	století	NOUN	11	nmod
14	přibližuje	VERB	0	root
15	i	CCONJ	16	advmod:emph
16	podobu	NOUN	14	obj
17	někdejšího	ADJ	20	amod
18	Českého	ADJ	20	amod
19	průmyslového	ADJ	20	amod
20	muzea	NOUN	16	nmod
21	,	PUNCT	24	punct
22	které	DET	24	obj
23	Náprstek	PROPN	24	nsubj
24	založil	VERB	20	acl:relcl
25	.	PUNCT	14	punct