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:
Vtip je v tom, že v takové ekonomice není sebemenší důvod k tomu, aby mzdy začaly růst neúměrným způsobem.
Postion	Tokenization
1	Vtip
2	je
3	v
4	tom
5	,
6	že
7	v
8	takové
9	ekonomice
10	není
11	sebemenší
12	důvod
13	k
14	tomu
15	,
16	aby
17	aby
18	by
19	mzdy
20	začaly
21	růst
22	neúměrným
23	způsobem
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Vtip	NOUN	2	nsubj
2	je	VERB	0	root
3	v	ADP	4	case
4	tom	DET	2	obl
5	,	PUNCT	10	punct
6	že	SCONJ	10	mark
7	v	ADP	9	case
8	takové	DET	9	det
9	ekonomice	NOUN	10	obl
10	není	VERB	4	acl
11	sebemenší	ADJ	12	amod
12	důvod	NOUN	10	nsubj
13	k	ADP	14	case
14	tomu	DET	12	det
15	,	PUNCT	19	punct
16	aby	_	None	_
17	aby	SCONJ	19	mark
18	by	AUX	19	aux
19	mzdy	NOUN	19	nsubj
20	začaly	VERB	14	acl
21	růst	VERB	19	xcomp
22	neúměrným	ADJ	22	amod
23	způsobem	NOUN	20	obl
24	.	PUNCT	2	punct