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 našeho názoru se věc dala řešit důsledným přeškolením zaměstnankyň pošty na novou techniku a ne aplikováním metody výuky neplavce nemilosrdně vhozeného do hlubokého rybníka.
Postion	Tokenization
1	Podle
2	našeho
3	názoru
4	se
5	věc
6	dala
7	řešit
8	důsledným
9	přeškolením
10	zaměstnankyň
11	pošty
12	na
13	novou
14	techniku
15	a
16	ne
17	aplikováním
18	metody
19	výuky
20	neplavce
21	nemilosrdně
22	vhozeného
23	do
24	hlubokého
25	rybníka
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	našeho	DET	3	det
3	názoru	NOUN	6	obl
4	se	PRON	6	expl:pass
5	věc	NOUN	6	nsubj:pass
6	dala	VERB	0	root
7	řešit	VERB	6	xcomp
8	důsledným	ADJ	9	amod
9	přeškolením	NOUN	7	obl
10	zaměstnankyň	NOUN	9	nmod
11	pošty	NOUN	10	nmod
12	na	ADP	14	case
13	novou	ADJ	14	amod
14	techniku	NOUN	9	nmod
15	a	CCONJ	17	cc
16	ne	PART	17	advmod:emph
17	aplikováním	NOUN	9	conj
18	metody	NOUN	17	nmod
19	výuky	NOUN	18	nmod
20	neplavce	NOUN	19	nmod
21	nemilosrdně	ADV	22	advmod
22	vhozeného	ADJ	20	amod
23	do	ADP	25	case
24	hlubokého	ADJ	25	amod
25	rybníka	NOUN	22	obl
26	.	PUNCT	6	punct