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: Odborníci nejenže odmítají porovnávat Německo s Koreou, když poukazují na zcela jiné geo-strategické, historické a kulturní podmínky, ale i jejich odhady jsou daleko vyšší než ty, které provázely sjednocení Německa.
Position	Tokenization	UPOS	Head	Deprel
1	Odborníci	NOUN	3	nsubj
2	nejenže	ADV	3	advmod:emph
3	odmítají	VERB	0	root
4	porovnávat	VERB	3	xcomp
5	Německo	PROPN	4	obj
6	s	ADP	7	case
7	Koreou	PROPN	5	nmod
8	,	PUNCT	10	punct
9	když	SCONJ	10	mark
10	poukazují	VERB	3	advcl
11	na	ADP	21	case
12	zcela	ADV	13	advmod
13	jiné	ADJ	21	amod
14	geo	ADJ	21	amod
15	-	PUNCT	16	punct
16	strategické	ADJ	14	conj
17	,	PUNCT	18	punct
18	historické	ADJ	14	conj
19	a	CCONJ	20	cc
20	kulturní	ADJ	14	conj
21	podmínky	NOUN	10	obl:arg
22	,	PUNCT	10	punct
23	ale	CCONJ	29	cc
24	i	CCONJ	26	advmod:emph
25	jejich	DET	26	det
26	odhady	NOUN	29	nsubj
27	jsou	AUX	29	cop
28	daleko	ADV	29	advmod
29	vyšší	ADJ	3	conj
30	než	SCONJ	31	mark
31	ty	DET	29	advcl
32	,	PUNCT	34	punct
33	které	DET	34	nsubj
34	provázely	VERB	31	acl:relcl
35	sjednocení	NOUN	34	obj
36	Německa	PROPN	35	nmod
37	.	PUNCT	3	punct