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: Komunistické dědictví působí na první pohled monolitně šedě, jak však vyplývá z příspěvků českého filozofa a akademického funkcionáře Jana Sokola, slovenského spisovatele a publicisty Martina M. Šimečky a žurnalisty a také rozhlasového reportéra Ivana Hoffmana, po léta žijícího v Bratislavě a nyní působícího v Praze, kvete na obou stranách řeky Moravy neobyčejně různorodými květy.
Position	Tokenization	UPOS	Head	Deprel
1	Komunistické	ADJ	2	amod
2	dědictví	NOUN	3	nsubj
3	působí	VERB	0	root
4	na	ADP	6	case
5	první	ADJ	6	amod
6	pohled	NOUN	3	obl
7	monolitně	ADV	3	advmod
8	šedě	ADV	3	advmod
9	,	PUNCT	12	punct
10	jak	ADV	12	advmod
11	však	CCONJ	12	cc
12	vyplývá	VERB	51	parataxis
13	z	ADP	14	case
14	příspěvků	NOUN	12	obl:arg
15	českého	ADJ	16	amod
16	filozofa	NOUN	20	nmod
17	a	CCONJ	19	cc
18	akademického	ADJ	19	amod
19	funkcionáře	NOUN	16	conj
20	Jana	PROPN	14	nmod
21	Sokola	PROPN	20	flat
22	,	PUNCT	27	punct
23	slovenského	ADJ	24	amod
24	spisovatele	NOUN	27	nmod
25	a	CCONJ	26	cc
26	publicisty	NOUN	24	conj
27	Martina	PROPN	20	conj
28	M	PROPN	27	flat
29	.	PUNCT	28	punct
30	Šimečky	PROPN	27	flat
31	a	CCONJ	37	cc
32	žurnalisty	NOUN	37	nmod
33	a	CCONJ	36	cc
34	také	ADV	36	advmod:emph
35	rozhlasového	ADJ	36	amod
36	reportéra	NOUN	32	conj
37	Ivana	PROPN	20	conj
38	Hoffmana	PROPN	37	flat
39	,	PUNCT	42	punct
40	po	ADP	41	case
41	léta	NOUN	42	obl
42	žijícího	ADJ	37	amod
43	v	ADP	44	case
44	Bratislavě	PROPN	42	obl
45	a	CCONJ	47	cc
46	nyní	ADV	47	advmod
47	působícího	ADJ	42	conj
48	v	ADP	49	case
49	Praze	PROPN	47	obl
50	,	PUNCT	51	punct
51	kvete	VERB	3	conj
52	na	ADP	54	case
53	obou	NUM	54	nummod
54	stranách	NOUN	51	obl
55	řeky	NOUN	54	nmod
56	Moravy	PROPN	55	nmod
57	neobyčejně	ADV	58	advmod
58	různorodými	ADJ	59	amod
59	květy	NOUN	51	obl
60	.	PUNCT	3	punct