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:
Jak se včera zpravodajové MF DNES přesvědčili, školy mají víc starostí s penězi, úvazky a dalšími důsledky nedostatečné legislativy než s promýšlením tvůrčích přístupů k žákům.
Postion	Tokenization
1	Jak
2	se
3	včera
4	zpravodajové
5	MF
6	DNES
7	přesvědčili
8	,
9	školy
10	mají
11	víc
12	starostí
13	s
14	penězi
15	,
16	úvazky
17	a
18	dalšími
19	důsledky
20	nedostatečné
21	legislativy
22	než
23	s
24	promýšlením
25	tvůrčích
26	přístupů
27	k
28	žákům
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	7	advmod
2	se	PRON	7	expl:pv
3	včera	ADV	7	advmod
4	zpravodajové	NOUN	7	nsubj
5	MF	PROPN	4	nmod
6	DNES	ADV	5	advmod
7	přesvědčili	VERB	10	advcl
8	,	PUNCT	7	punct
9	školy	NOUN	10	nsubj
10	mají	VERB	0	root
11	víc	ADV	10	obj
12	starostí	NOUN	11	nmod
13	s	ADP	14	case
14	penězi	NOUN	12	nmod
15	,	PUNCT	16	punct
16	úvazky	NOUN	14	conj
17	a	CCONJ	19	cc
18	dalšími	ADJ	19	amod
19	důsledky	NOUN	14	conj
20	nedostatečné	ADJ	21	amod
21	legislativy	NOUN	19	nmod
22	než	SCONJ	24	mark
23	s	ADP	24	case
24	promýšlením	NOUN	14	conj
25	tvůrčích	ADJ	26	amod
26	přístupů	NOUN	24	nmod
27	k	ADP	28	case
28	žákům	NOUN	26	nmod
29	.	PUNCT	10	punct