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:
Hospodářský vývoj v českých zemích označil K. Dyba za nadějný, neboť například výsledky ve stavebnictví jsou podle jeho slov lepší než v prvním pololetí loňského roku a zlepšuje se i průmyslová produkce.
Postion	Tokenization
1	Hospodářský
2	vývoj
3	v
4	českých
5	zemích
6	označil
7	K
8	.
9	Dyba
10	za
11	nadějný
12	,
13	neboť
14	například
15	výsledky
16	ve
17	stavebnictví
18	jsou
19	podle
20	jeho
21	slov
22	lepší
23	než
24	v
25	prvním
26	pololetí
27	loňského
28	roku
29	a
30	zlepšuje
31	se
32	i
33	průmyslová
34	produkce
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Hospodářský	ADJ	2	amod
2	vývoj	NOUN	6	obj
3	v	ADP	5	case
4	českých	ADJ	5	amod
5	zemích	NOUN	2	nmod
6	označil	VERB	0	root
7	K	PROPN	6	nsubj
8	.	PUNCT	7	punct
9	Dyba	PROPN	7	flat
10	za	ADP	11	case
11	nadějný	ADJ	6	obl:arg
12	,	PUNCT	22	punct
13	neboť	CCONJ	22	cc
14	například	ADV	15	advmod:emph
15	výsledky	NOUN	22	nsubj
16	ve	ADP	17	case
17	stavebnictví	NOUN	15	nmod
18	jsou	AUX	22	cop
19	podle	ADP	21	case
20	jeho	DET	21	det
21	slov	NOUN	22	obl
22	lepší	ADJ	6	conj
23	než	SCONJ	26	mark
24	v	ADP	26	case
25	prvním	ADJ	26	amod
26	pololetí	NOUN	22	dep
27	loňského	ADJ	28	amod
28	roku	NOUN	26	nmod
29	a	CCONJ	30	cc
30	zlepšuje	VERB	22	conj
31	se	PRON	30	expl:pass
32	i	CCONJ	34	advmod:emph
33	průmyslová	ADJ	34	amod
34	produkce	NOUN	30	nsubj:pass
35	.	PUNCT	6	punct