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: Do strojírenství, které i přes určitý pokles významu v posledních letech stále vytváří více než pětinu hrubého domácího produktu České republiky, se po roce 1989 koncentrovaly téměř všechny problémy spojené s transformací ekonomiky.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	2	case
2	strojírenství	NOUN	28	obl
3	,	PUNCT	14	punct
4	které	DET	14	nsubj
5	i	CCONJ	8	advmod:emph
6	přes	ADP	8	case
7	určitý	ADJ	8	amod
8	pokles	NOUN	14	obl
9	významu	NOUN	8	nmod
10	v	ADP	12	case
11	posledních	ADJ	12	amod
12	letech	NOUN	8	nmod
13	stále	ADV	14	advmod
14	vytváří	VERB	2	acl:relcl
15	více	ADV	14	obj
16	než	SCONJ	17	mark
17	pětinu	NUM	15	obl
18	hrubého	ADJ	20	amod
19	domácího	ADJ	20	amod
20	produktu	NOUN	17	nmod
21	České	ADJ	22	amod
22	republiky	NOUN	20	nmod
23	,	PUNCT	14	punct
24	se	PRON	28	expl:pass
25	po	ADP	26	case
26	roce	NOUN	28	obl
27	1989	NUM	26	nummod
28	koncentrovaly	VERB	0	root
29	téměř	ADV	31	advmod:emph
30	všechny	DET	31	det
31	problémy	NOUN	28	nsubj:pass
32	spojené	ADJ	31	amod
33	s	ADP	34	case
34	transformací	NOUN	32	obl:arg
35	ekonomiky	NOUN	34	nmod
36	.	PUNCT	28	punct