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: A navíc má polská ekonomika co dohánět, vždyť tamní hrubý domácí produkt na obyvatele byl v roce 1990 téměř o polovinu nižší ve srovnání s českým HDP a o více než čtvrtinu ve srovnání s maďarským.
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	3	cc
2	navíc	ADV	3	advmod
3	má	VERB	0	root
4	polská	ADJ	5	amod
5	ekonomika	NOUN	3	nsubj
6	co	PRON	7	obj
7	dohánět	VERB	3	xcomp
8	,	PUNCT	23	punct
9	vždyť	CCONJ	23	cc
10	tamní	ADJ	13	amod
11	hrubý	ADJ	13	amod
12	domácí	ADJ	13	amod
13	produkt	NOUN	23	nsubj
14	na	ADP	15	case
15	obyvatele	NOUN	13	nmod
16	byl	AUX	23	cop
17	v	ADP	18	case
18	roce	NOUN	23	obl
19	1990	NUM	18	nummod
20	téměř	ADV	22	advmod:emph
21	o	ADP	22	case
22	polovinu	NOUN	23	obl
23	nižší	ADJ	3	conj
24	ve	ADP	28	case
25	srovnání	NOUN	24	fixed
26	s	ADP	24	fixed
27	českým	ADJ	28	amod
28	HDP	NOUN	23	obl
29	_	_	None	_
30	a	CCONJ	31	cc
31	o	ADP	31	case
32	více	ADV	23	conj
33	než	SCONJ	33	mark
34	čtvrtinu	NUM	31	obl
35	ve	ADP	37	case
36	srovnání	NOUN	34	fixed
37	s	ADP	34	fixed
38	maďarským	ADJ	31	orphan
39	.	PUNCT	3	punct