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:
Transformace společnosti a ekonomická reforma, které v naší zemi započaly před pěti lety, s sebou díky otevřenosti vůči světu přinesly mnoho dosud v praxi nepoužívaných novinek.
Postion	Tokenization
1	Transformace
2	společnosti
3	a
4	ekonomická
5	reforma
6	,
7	které
8	v
9	naší
10	zemi
11	započaly
12	před
13	pěti
14	lety
15	,
16	s
17	sebou
18	díky
19	otevřenosti
20	vůči
21	světu
22	přinesly
23	mnoho
24	dosud
25	v
26	praxi
27	nepoužívaných
28	novinek
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Transformace	NOUN	22	nsubj
2	společnosti	NOUN	1	nmod
3	a	CCONJ	5	cc
4	ekonomická	ADJ	5	amod
5	reforma	NOUN	1	conj
6	,	PUNCT	11	punct
7	které	DET	11	nsubj
8	v	ADP	10	case
9	naší	DET	10	det
10	zemi	NOUN	11	obl
11	započaly	VERB	1	acl:relcl
12	před	ADP	14	case
13	pěti	NUM	14	nummod
14	lety	NOUN	11	obl
15	,	PUNCT	11	punct
16	s	ADP	17	case
17	sebou	PRON	22	obl
18	díky	ADP	19	case
19	otevřenosti	NOUN	22	obl
20	vůči	ADP	21	case
21	světu	NOUN	19	nmod
22	přinesly	VERB	0	root
23	mnoho	DET	28	det:numgov
24	dosud	ADV	27	advmod
25	v	ADP	26	case
26	praxi	NOUN	27	obl
27	nepoužívaných	ADJ	28	amod
28	novinek	NOUN	22	obj
29	.	PUNCT	22	punct