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:
Dovoz do České republiky za leden až červenec letošního roku dosáhl předběžně podle údajů ČSÚ 229.1 miliardy korun, což bylo o 13.6 procenta více než ve stejném období loni.
Postion	Tokenization
1	Dovoz
2	do
3	České
4	republiky
5	za
6	leden
7	až
8	červenec
9	letošního
10	roku
11	dosáhl
12	předběžně
13	podle
14	údajů
15	ČSÚ
16	229.1
17	miliardy
18	korun
19	,
20	což
21	bylo
22	o
23	13.6
24	procenta
25	více
26	než
27	ve
28	stejném
29	období
30	loni
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Dovoz	NOUN	11	nsubj
2	do	ADP	4	case
3	České	ADJ	4	amod
4	republiky	NOUN	1	nmod
5	za	ADP	6	case
6	leden	NOUN	1	nmod
7	až	CCONJ	8	cc
8	červenec	NOUN	6	conj
9	letošního	ADJ	10	amod
10	roku	NOUN	6	nmod
11	dosáhl	VERB	0	root
12	předběžně	ADV	11	advmod
13	podle	ADP	14	case
14	údajů	NOUN	11	obl
15	ČSÚ	PROPN	14	nmod
16	229.1	NUM	17	nummod:gov
17	miliardy	NOUN	11	obj
18	korun	NOUN	17	nmod
19	,	PUNCT	21	punct
20	což	PRON	21	nsubj
21	bylo	VERB	11	conj
22	o	ADP	24	case
23	13.6	NUM	24	nummod:gov
24	procenta	NOUN	25	obl
25	více	ADV	21	advmod
26	než	SCONJ	29	mark
27	ve	ADP	29	case
28	stejném	ADJ	29	amod
29	období	NOUN	25	dep
30	loni	ADV	29	advmod
31	.	PUNCT	11	punct