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: Mnoho lidí, z národů ač jsou různých, se podílí na výrobě a směně prostředků, které potřebuje Ludvík Vaculík k tomu, aby slova jeho hněvu dopadla na stránky Literárních novin, získala tak občanskou váhu a my se mohli zastydět za naši konzumní omezenost a mravní lhostejnost.
Position	Tokenization	UPOS	Head	Deprel
1	Mnoho	DET	2	det:numgov
2	lidí	NOUN	11	nsubj
3	,	PUNCT	7	punct
4	z	ADP	5	case
5	národů	NOUN	7	obl
6	ač	SCONJ	7	mark
7	jsou	VERB	11	advcl
8	různých	ADJ	5	amod
9	,	PUNCT	7	punct
10	se	PRON	11	expl:pv
11	podílí	VERB	0	root
12	na	ADP	13	case
13	výrobě	NOUN	11	obl:arg
14	a	CCONJ	15	cc
15	směně	NOUN	13	conj
16	prostředků	NOUN	13	nmod
17	,	PUNCT	19	punct
18	které	DET	19	obj
19	potřebuje	VERB	16	acl:relcl
20	Ludvík	PROPN	19	nsubj
21	Vaculík	PROPN	20	flat
22	k	ADP	23	case
23	tomu	DET	19	obl:arg
24	,	PUNCT	30	punct
25	aby	_	None	_
26	aby	SCONJ	30	mark
27	by	AUX	30	aux
28	slova	NOUN	30	nsubj
29	jeho	DET	29	det
30	hněvu	NOUN	27	nmod
31	dopadla	VERB	23	acl
32	na	ADP	32	case
33	stránky	NOUN	30	obl
34	Literárních	ADJ	34	amod
35	novin	NOUN	32	nmod
36	,	PUNCT	36	punct
37	získala	VERB	30	conj
38	tak	ADV	36	advmod
39	občanskou	ADJ	39	amod
40	váhu	NOUN	36	obj
41	a	CCONJ	43	cc
42	my	PRON	43	nsubj
43	se	PRON	44	expl:pv
44	mohli	VERB	30	conj
45	zastydět	VERB	43	xcomp
46	za	ADP	48	case
47	naši	DET	48	det
48	konzumní	ADJ	48	amod
49	omezenost	NOUN	44	obl:arg
50	a	CCONJ	51	cc
51	mravní	ADJ	51	amod
52	lhostejnost	NOUN	48	conj
53	.	PUNCT	11	punct