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: Tato pověst věru značně utrpěla i v Čechách, které se SNP účastnily nejen nepřímo, ale také přímo: například odbojové skupiny občanského odboje Flóra a Justícia, vedené Čechy Květoslavou Viestovou-Burešovou a prof. Karlem Kochem.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	pověst	NOUN	5	nsubj
3	věru	ADV	5	advmod
4	značně	ADV	5	advmod
5	utrpěla	VERB	0	root
6	i	CCONJ	8	advmod:emph
7	v	ADP	8	case
8	Čechách	PROPN	5	obl
9	,	PUNCT	13	punct
10	které	DET	13	nsubj
11	se	PRON	13	expl:pv
12	SNP	PROPN	13	obj
13	účastnily	VERB	8	acl:relcl
14	nejen	PART	15	advmod:emph
15	nepřímo	ADV	13	advmod
16	,	PUNCT	19	punct
17	ale	CCONJ	19	cc
18	také	ADV	19	advmod:emph
19	přímo	ADV	15	conj
20	:	PUNCT	23	punct
21	například	ADV	23	advmod:emph
22	odbojové	ADJ	23	amod
23	skupiny	NOUN	5	conj
24	občanského	ADJ	25	amod
25	odboje	NOUN	23	nmod
26	Flóra	PROPN	23	nmod
27	a	CCONJ	28	cc
28	Justícia	PROPN	26	conj
29	,	PUNCT	30	punct
30	vedené	ADJ	23	amod
31	Čechy	PROPN	32	nmod
32	Květoslavou	PROPN	30	obl:arg
33	Viestovou	ADJ	32	flat
34	-	PUNCT	33	punct
35	Burešovou	PROPN	32	flat
36	a	CCONJ	39	cc
37	prof	NOUN	39	nmod
38	.	PUNCT	37	punct
39	Karlem	PROPN	32	conj
40	Kochem	PROPN	39	flat
41	.	PUNCT	5	punct