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:
Prodej elektrických spotřebičů pro domácnost v České republice dosáhl 954.8 miliónu korun, na Slovensko putovaly elektrospotřebiče za 135.9 miliónu korun.
Postion	Tokenization
1	Prodej
2	elektrických
3	spotřebičů
4	pro
5	domácnost
6	v
7	České
8	republice
9	dosáhl
10	954.8
11	miliónu
12	korun
13	,
14	na
15	Slovensko
16	putovaly
17	elektrospotřebiče
18	za
19	135.9
20	miliónu
21	korun
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Prodej	NOUN	9	nsubj
2	elektrických	ADJ	3	amod
3	spotřebičů	NOUN	1	nmod
4	pro	ADP	5	case
5	domácnost	NOUN	3	nmod
6	v	ADP	8	case
7	České	ADJ	8	amod
8	republice	NOUN	1	nmod
9	dosáhl	VERB	0	root
10	954.8	NUM	11	nummod:gov
11	miliónu	NOUN	9	obj
12	korun	NOUN	11	nmod
13	,	PUNCT	16	punct
14	na	ADP	15	case
15	Slovensko	PROPN	16	obl
16	putovaly	VERB	9	conj
17	elektrospotřebiče	NOUN	16	nsubj
18	za	ADP	20	case
19	135.9	NUM	20	nummod:gov
20	miliónu	NOUN	17	nmod
21	korun	NOUN	20	nmod
22	.	PUNCT	9	punct