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:
Podle údajů statistiky pro 24 hospodářsky nejvyspělejších zemí světa je v porovnání s Německem dražší pouze Japonsko (o 30 %), Švýcarsko (o 14 %) a Dánsko (o 10 %).
Postion	Tokenization
1	Podle
2	údajů
3	statistiky
4	pro
5	24
6	hospodářsky
7	nejvyspělejších
8	zemí
9	světa
10	je
11	v
12	porovnání
13	s
14	Německem
15	dražší
16	pouze
17	Japonsko
18	(
19	o
20	30
21	%
22	)
23	_
24	,
25	Švýcarsko
26	(
27	o
28	14
29	%
30	)
31	a
32	Dánsko
33	(
34	o
35	10
36	%
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	údajů	NOUN	15	obl
3	statistiky	NOUN	2	nmod
4	pro	ADP	8	case
5	24	NUM	8	nummod:gov
6	hospodářsky	ADV	7	advmod
7	nejvyspělejších	ADJ	8	amod
8	zemí	NOUN	3	nmod
9	světa	NOUN	8	nmod
10	je	AUX	15	cop
11	v	ADP	14	case
12	porovnání	NOUN	11	fixed
13	s	ADP	11	fixed
14	Německem	PROPN	15	obl
15	dražší	ADJ	0	root
16	pouze	ADV	17	advmod:emph
17	Japonsko	PROPN	15	nsubj
18	(	PUNCT	20	punct
19	o	ADP	20	case
20	30	NUM	15	obl
21	%	SYM	20	nmod
22	)	PUNCT	20	punct
23	_	_	None	_
24	,	PUNCT	24	punct
25	Švýcarsko	PROPN	15	conj
26	(	PUNCT	24	punct
27	o	ADP	27	case
28	14	NUM	15	dep
29	%	SYM	27	nmod
30	)	PUNCT	28	punct
31	a	CCONJ	24	cc
32	Dánsko	PROPN	24	orphan
33	(	PUNCT	15	punct
34	o	ADP	34	case
35	10	NUM	15	dep
36	%	SYM	34	nmod
37	)	PUNCT	15	punct
38	.	PUNCT	15	punct