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:
Slavia tak ušetřila částku, která měla být podle jejího názoru 110 tisíc dolarů, podle Srbů dokonce 430 tisíc dolarů!
Postion	Tokenization
1	Slavia
2	tak
3	ušetřila
4	částku
5	,
6	která
7	měla
8	být
9	podle
10	jejího
11	názoru
12	110
13	tisíc
14	dolarů
15	_
16	,
17	podle
18	Srbů
19	dokonce
20	430
21	tisíc
22	dolarů
23	!
Position	Tokenization	UPOS	Head	Deprel
1	Slavia	PROPN	3	nsubj
2	tak	ADV	3	advmod
3	ušetřila	VERB	0	root
4	částku	NOUN	3	obj
5	,	PUNCT	7	punct
6	která	DET	7	nsubj
7	měla	VERB	4	acl:relcl
8	být	AUX	14	cop
9	podle	ADP	11	case
10	jejího	DET	11	det
11	názoru	NOUN	7	obl
12	110	NUM	14	nummod:gov
13	tisíc	NUM	14	nummod:gov
14	dolarů	NOUN	7	xcomp
15	_	_	None	_
16	,	PUNCT	17	punct
17	podle	ADP	17	case
18	Srbů	PROPN	7	conj
19	dokonce	ADV	19	advmod:emph
20	430	NUM	21	nummod:gov
21	tisíc	NUM	21	nummod:gov
22	dolarů	NOUN	17	orphan
23	!	PUNCT	3	punct