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 text: Na základě včerejší předběžné dohody mezi oběma partnery pošle ČSÚ do Bruselu svůj názor na to, jak rozdíl ve statistikách o vývoji obchodu mezi ČR a EU, který dosahuje téměř 40 mld. korun, vzniká.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	5	case
2	základě	NOUN	1	fixed
3	včerejší	ADJ	5	amod
4	předběžné	ADJ	5	amod
5	dohody	NOUN	9	obl
6	mezi	ADP	8	case
7	oběma	NUM	8	nummod
8	partnery	NOUN	5	nmod
9	pošle	VERB	0	root
10	ČSÚ	PROPN	9	nsubj
11	do	ADP	12	case
12	Bruselu	PROPN	9	obl
13	svůj	DET	14	det
14	názor	NOUN	9	obj
15	na	ADP	16	case
16	to	DET	14	det
17	,	PUNCT	38	punct
18	jak	ADV	38	advmod
19	rozdíl	NOUN	38	nsubj
20	ve	ADP	21	case
21	statistikách	NOUN	19	nmod
22	o	ADP	23	case
23	vývoji	NOUN	21	nmod
24	obchodu	NOUN	23	nmod
25	mezi	ADP	26	case
26	ČR	PROPN	24	nmod
27	a	CCONJ	28	cc
28	EU	PROPN	26	conj
29	,	PUNCT	31	punct
30	který	DET	31	nsubj
31	dosahuje	VERB	19	acl:relcl
32	téměř	ADV	33	advmod:emph
33	40	NUM	31	obj
34	mld	NOUN	33	nmod
35	.	PUNCT	34	punct
36	korun	NOUN	34	nmod
37	,	PUNCT	31	punct
38	vzniká	VERB	16	acl
39	.	PUNCT	9	punct