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: Klíčovým faktem ovšem zůstává, že je-li to, co většina z nás chápe jako protiklady, skloubeno opravdu soudržně, vytváří se silné napětí, přitažlivost a fascinace, které nemusí být nutně prvoplánové.
Position	Tokenization	UPOS	Head	Deprel
1	Klíčovým	ADJ	2	amod
2	faktem	NOUN	4	obl:arg
3	ovšem	PART	4	cc
4	zůstává	VERB	0	root
5	,	PUNCT	24	punct
6	že	SCONJ	24	mark
7	je	AUX	20	cop
8	-	PUNCT	20	punct
9	li	PART	20	mark
10	to	DET	20	nsubj:pass
11	,	PUNCT	16	punct
12	co	PRON	16	obj
13	většina	NOUN	16	nsubj
14	z	ADP	15	case
15	nás	PRON	13	nmod
16	chápe	VERB	10	acl:relcl
17	jako	SCONJ	18	mark
18	protiklady	NOUN	12	xcomp
19	,	PUNCT	16	punct
20	skloubeno	ADJ	24	advcl
21	opravdu	ADV	22	advmod
22	soudržně	ADV	20	advmod
23	,	PUNCT	20	punct
24	vytváří	VERB	4	csubj
25	se	PRON	24	expl:pass
26	silné	ADJ	27	amod
27	napětí	NOUN	24	nsubj:pass
28	,	PUNCT	29	punct
29	přitažlivost	NOUN	27	conj
30	a	CCONJ	31	cc
31	fascinace	NOUN	27	conj
32	,	PUNCT	34	punct
33	které	DET	34	nsubj
34	nemusí	VERB	27	acl:relcl
35	být	AUX	37	cop
36	nutně	ADV	37	advmod
37	prvoplánové	ADJ	34	xcomp
38	.	PUNCT	4	punct