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:
Podle výsledků Spolkového statistického úřadu ve Wiesbadenu k největšímu zhoršení došlo v oblasti stavebnictví, kde se počet insolventních firem oproti roku 1993 zvýšil o 24 procent.
Postion	Tokenization
1	Podle
2	výsledků
3	Spolkového
4	statistického
5	úřadu
6	ve
7	Wiesbadenu
8	k
9	největšímu
10	zhoršení
11	došlo
12	v
13	oblasti
14	stavebnictví
15	,
16	kde
17	se
18	počet
19	insolventních
20	firem
21	oproti
22	roku
23	1993
24	zvýšil
25	o
26	24
27	procent
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	výsledků	NOUN	11	obl
3	Spolkového	ADJ	5	amod
4	statistického	ADJ	5	amod
5	úřadu	NOUN	2	nmod
6	ve	ADP	7	case
7	Wiesbadenu	PROPN	5	nmod
8	k	ADP	10	case
9	největšímu	ADJ	10	amod
10	zhoršení	NOUN	11	obl:arg
11	došlo	VERB	0	root
12	v	ADP	14	case
13	oblasti	NOUN	12	fixed
14	stavebnictví	NOUN	11	obl
15	,	PUNCT	24	punct
16	kde	ADV	24	advmod
17	se	PRON	24	expl:pv
18	počet	NOUN	24	nsubj
19	insolventních	ADJ	20	amod
20	firem	NOUN	18	nmod
21	oproti	ADP	22	case
22	roku	NOUN	24	obl
23	1993	NUM	22	nummod
24	zvýšil	VERB	14	acl:relcl
25	o	ADP	27	case
26	24	NUM	27	nummod:gov
27	procent	NOUN	24	obl
28	.	PUNCT	11	punct