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 tokenized text:
Narůstající počet lidí bez práce je jedním z průvodných jevů probíhající hospodářské reformy, při níž nevyhnutelně dochází k rušení a bankrotování mnoha neefektivních státních organizací.
Postion	Tokenization
1	Narůstající
2	počet
3	lidí
4	bez
5	práce
6	je
7	jedním
8	z
9	průvodných
10	jevů
11	probíhající
12	hospodářské
13	reformy
14	,
15	při
16	níž
17	nevyhnutelně
18	dochází
19	k
20	rušení
21	a
22	bankrotování
23	mnoha
24	neefektivních
25	státních
26	organizací
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Narůstající	ADJ	2	amod
2	počet	NOUN	7	nsubj
3	lidí	NOUN	2	nmod
4	bez	ADP	5	case
5	práce	NOUN	3	nmod
6	je	AUX	7	cop
7	jedním	NUM	0	root
8	z	ADP	10	case
9	průvodných	ADJ	10	amod
10	jevů	NOUN	7	nmod
11	probíhající	ADJ	13	amod
12	hospodářské	ADJ	13	amod
13	reformy	NOUN	10	nmod
14	,	PUNCT	18	punct
15	při	ADP	16	case
16	níž	PRON	18	obl
17	nevyhnutelně	ADV	18	advmod
18	dochází	VERB	13	acl:relcl
19	k	ADP	20	case
20	rušení	NOUN	18	obl:arg
21	a	CCONJ	22	cc
22	bankrotování	NOUN	20	conj
23	mnoha	DET	26	det:nummod
24	neefektivních	ADJ	26	amod
25	státních	ADJ	26	amod
26	organizací	NOUN	20	nmod
27	.	PUNCT	7	punct