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: Ve specifických podmínkách české ekonomiky, mj. vzhledem k netržnímu chování neprivatizovaných podniků, nízkým mzdám jakož i rychlému rozvoji drobné podnikatelské aktivity (včetně tzv. černé a šedé ekonomiky), růst nezaměstnanosti v letech 1991 - 1993 značně zaostal za poklesem HDP.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	specifických	ADJ	3	amod
3	podmínkách	NOUN	43	obl
4	české	ADJ	5	amod
5	ekonomiky	NOUN	3	nmod
6	,	PUNCT	43	punct
7	mj	ADV	43	dep
8	.	PUNCT	7	punct
9	vzhledem	ADP	12	case
10	k	ADP	9	fixed
11	netržnímu	ADJ	12	amod
12	chování	NOUN	43	dep
13	neprivatizovaných	ADJ	14	amod
14	podniků	NOUN	12	nmod
15	,	PUNCT	17	punct
16	nízkým	ADJ	17	amod
17	mzdám	NOUN	12	conj
18	jakož	SCONJ	21	cc
19	i	CCONJ	21	cc
20	rychlému	ADJ	21	amod
21	rozvoji	NOUN	12	conj
22	drobné	ADJ	24	amod
23	podnikatelské	ADJ	24	amod
24	aktivity	NOUN	21	nmod
25	(	PUNCT	32	punct
26	včetně	ADP	32	case
27	tzv	ADJ	32	amod
28	.	PUNCT	27	punct
29	černé	ADJ	32	amod
30	a	CCONJ	31	cc
31	šedé	ADJ	29	conj
32	ekonomiky	NOUN	24	nmod
33	)	PUNCT	32	punct
34	,	PUNCT	43	punct
35	růst	NOUN	43	nsubj
36	nezaměstnanosti	NOUN	35	nmod
37	v	ADP	38	case
38	letech	NOUN	43	obl
39	1991	NUM	38	nummod
40	-	PUNCT	41	punct
41	1993	NUM	39	conj
42	značně	ADV	43	advmod
43	zaostal	VERB	0	root
44	za	ADP	45	case
45	poklesem	NOUN	43	obl
46	HDP	NOUN	45	nmod
47	.	PUNCT	43	punct