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:
V posledním konjunkturálním průzkumu statistických úřadů odpovědělo pouze 30 procent československých průmyslových podniků a těsně přes polovinu stavebních firem, že nemají problémy s platební neschopností.
Postion	Tokenization
1	V
2	posledním
3	konjunkturálním
4	průzkumu
5	statistických
6	úřadů
7	odpovědělo
8	pouze
9	30
10	procent
11	československých
12	průmyslových
13	podniků
14	a
15	těsně
16	přes
17	polovinu
18	stavebních
19	firem
20	,
21	že
22	nemají
23	problémy
24	s
25	platební
26	neschopností
27	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	posledním	ADJ	4	amod
3	konjunkturálním	ADJ	4	amod
4	průzkumu	NOUN	7	obl
5	statistických	ADJ	6	amod
6	úřadů	NOUN	4	nmod
7	odpovědělo	VERB	0	root
8	pouze	ADV	9	advmod:emph
9	30	NUM	10	nummod:gov
10	procent	NOUN	7	nsubj
11	československých	ADJ	13	amod
12	průmyslových	ADJ	13	amod
13	podniků	NOUN	10	nmod
14	a	CCONJ	17	cc
15	těsně	ADV	17	advmod:emph
16	přes	ADP	17	case
17	polovinu	NOUN	10	conj
18	stavebních	ADJ	19	amod
19	firem	NOUN	17	nmod
20	,	PUNCT	22	punct
21	že	SCONJ	22	mark
22	nemají	VERB	7	ccomp
23	problémy	NOUN	22	obj
24	s	ADP	26	case
25	platební	ADJ	26	amod
26	neschopností	NOUN	23	nmod
27	.	PUNCT	7	punct