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: Tato metoda rozdělování nám ukázala i druhý rys - fakt, že skutečně potřeby moravských a slezských okresů byly podhodnoceny, takže v celkovém rozdělení na příští rok se jejich podíl zvýšil a loňský zdroj neshod se do značné míry podařilo odstranit.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	metoda	NOUN	5	nsubj
3	rozdělování	NOUN	2	nmod
4	nám	PRON	5	obl:arg
5	ukázala	VERB	0	root
6	i	CCONJ	8	advmod:emph
7	druhý	ADJ	8	amod
8	rys	NOUN	5	obj
9	-	PUNCT	10	punct
10	fakt	NOUN	8	appos
11	,	PUNCT	20	punct
12	že	SCONJ	20	mark
13	skutečně	ADV	20	advmod
14	potřeby	NOUN	20	nsubj
15	moravských	ADJ	18	amod
16	a	CCONJ	17	cc
17	slezských	ADJ	15	conj
18	okresů	NOUN	14	nmod
19	byly	AUX	20	cop
20	podhodnoceny	ADJ	10	acl
21	,	PUNCT	32	punct
22	takže	SCONJ	32	mark
23	v	ADP	25	case
24	celkovém	ADJ	25	amod
25	rozdělení	NOUN	32	obl
26	na	ADP	28	case
27	příští	ADJ	28	amod
28	rok	NOUN	25	nmod
29	se	PRON	32	expl:pass
30	jejich	DET	31	det
31	podíl	NOUN	32	nsubj:pass
32	zvýšil	VERB	20	advcl
33	a	CCONJ	41	cc
34	loňský	ADJ	35	amod
35	zdroj	NOUN	42	obj
36	neshod	NOUN	35	nmod
37	se	PRON	41	expl:pv
38	do	ADP	40	case
39	značné	ADJ	40	amod
40	míry	NOUN	41	obl
41	podařilo	VERB	32	conj
42	odstranit	VERB	41	xcomp
43	.	PUNCT	5	punct