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: Není téměř nikdo, kdo bude mít základní důchod přesně 50 % mzdy (nebo, jak říká vláda, 45 % v průměru), protože ti s nejmenší mzdou budou mít podle vládního návrhu důchod ve výši 83 % posledního výdělku, zatímco ti s nejvyšší mzdou pouze 27 %.
Position	Tokenization	UPOS	Head	Deprel
1	Není	VERB	0	root
2	téměř	ADV	3	advmod:emph
3	nikdo	PRON	1	nsubj
4	,	PUNCT	7	punct
5	kdo	PRON	7	nsubj
6	bude	AUX	7	aux
7	mít	VERB	3	acl:relcl
8	základní	ADJ	9	amod
9	důchod	NOUN	7	obj
10	přesně	ADV	11	advmod
11	50	NUM	9	nummod
12	%	SYM	11	nmod
13	mzdy	NOUN	12	nmod
14	(	PUNCT	21	punct
15	nebo	CCONJ	21	cc
16	,	PUNCT	18	punct
17	jak	ADV	18	advmod
18	říká	VERB	21	parataxis
19	vláda	NOUN	18	nsubj
20	,	PUNCT	18	punct
21	45	NUM	11	conj
22	%	SYM	21	nmod
23	v	ADP	24	case
24	průměru	NOUN	22	nmod
25	)	PUNCT	21	punct
26	,	PUNCT	33	punct
27	protože	SCONJ	33	mark
28	ti	DET	33	nsubj
29	s	ADP	31	case
30	nejmenší	ADJ	31	amod
31	mzdou	NOUN	28	nmod
32	budou	AUX	33	aux
33	mít	VERB	1	advcl
34	podle	ADP	36	case
35	vládního	ADJ	36	amod
36	návrhu	NOUN	33	obl
37	důchod	NOUN	33	obj
38	ve	ADP	39	case
39	výši	NOUN	37	nmod
40	83	NUM	39	nummod
41	%	SYM	40	nmod
42	posledního	ADJ	43	amod
43	výdělku	NOUN	41	nmod
44	,	PUNCT	46	punct
45	zatímco	SCONJ	46	mark
46	ti	DET	33	dep
47	s	ADP	49	case
48	nejvyšší	ADJ	49	amod
49	mzdou	NOUN	46	nmod
50	pouze	ADV	51	advmod:emph
51	27	NUM	46	dep
52	%	SYM	51	nmod
53	.	PUNCT	1	punct