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:
Podle vedení ministerstva se podstatně zvýšila šance k uspokojování přirozených vzdělávacích zájmů, neboť začíná fungovat cosi jako vzdělávací trh, na němž se nabídka do jisté míry přizpůsobuje poptávce.
Postion	Tokenization
1	Podle
2	vedení
3	ministerstva
4	se
5	podstatně
6	zvýšila
7	šance
8	k
9	uspokojování
10	přirozených
11	vzdělávacích
12	zájmů
13	,
14	neboť
15	začíná
16	fungovat
17	cosi
18	jako
19	vzdělávací
20	trh
21	,
22	na
23	němž
24	se
25	nabídka
26	do
27	jisté
28	míry
29	přizpůsobuje
30	poptávce
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	vedení	NOUN	6	obl
3	ministerstva	NOUN	2	nmod
4	se	PRON	6	expl:pv
5	podstatně	ADV	6	advmod
6	zvýšila	VERB	0	root
7	šance	NOUN	6	nsubj
8	k	ADP	9	case
9	uspokojování	NOUN	7	nmod
10	přirozených	ADJ	12	amod
11	vzdělávacích	ADJ	12	amod
12	zájmů	NOUN	9	nmod
13	,	PUNCT	15	punct
14	neboť	CCONJ	15	cc
15	začíná	VERB	6	conj
16	fungovat	VERB	15	xcomp
17	cosi	PRON	15	nsubj
18	jako	SCONJ	20	mark
19	vzdělávací	ADJ	20	amod
20	trh	NOUN	17	advcl
21	,	PUNCT	29	punct
22	na	ADP	23	case
23	němž	PRON	29	obl
24	se	PRON	29	expl:pass
25	nabídka	NOUN	29	nsubj:pass
26	do	ADP	28	case
27	jisté	ADJ	28	amod
28	míry	NOUN	29	obl
29	přizpůsobuje	VERB	20	acl:relcl
30	poptávce	NOUN	29	obl:arg
31	.	PUNCT	6	punct