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: Jak ministr Ježek sám uvádí, efektivnější podniky jsou spíše v Čechách než na Slovensku, a proto budou občané, Češi i Slováci, pravděpodobně v převážné většině kupovat akcie českých podniků.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	5	advmod
2	ministr	NOUN	3	nmod
3	Ježek	NOUN	5	nsubj
4	sám	DET	3	xcomp
5	uvádí	VERB	9	parataxis
6	,	PUNCT	9	punct
7	efektivnější	ADJ	8	amod
8	podniky	NOUN	9	nsubj
9	jsou	VERB	0	root
10	spíše	ADV	9	advmod
11	v	ADP	12	case
12	Čechách	PROPN	9	obl
13	než	SCONJ	15	mark
14	na	ADP	15	case
15	Slovensku	PROPN	10	dep
16	,	PUNCT	30	punct
17	a	CCONJ	30	cc
18	proto	CCONJ	30	cc
19	budou	AUX	30	aux
20	občané	NOUN	30	nsubj
21	,	PUNCT	22	punct
22	Češi	PROPN	20	appos
23	i	CCONJ	24	cc
24	Slováci	PROPN	22	conj
25	,	PUNCT	22	punct
26	pravděpodobně	ADV	30	advmod
27	v	ADP	29	case
28	převážné	ADJ	29	amod
29	většině	NOUN	30	obl
30	kupovat	VERB	9	conj
31	akcie	NOUN	30	obj
32	českých	ADJ	33	amod
33	podniků	NOUN	31	nmod
34	.	PUNCT	9	punct