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: Opavští se po dobu partnerství snaží učit se práci podle japonské zásady "Čím pomaleji kráčíš, tím dříve dojdeš k cíli", která je jedním z důvodů doposud příznivého vývoje japonské ekonomiky.
Position	Tokenization	UPOS	Head	Deprel
1	Opavští	ADJ	6	nsubj
2	se	PRON	6	expl:pv
3	po	ADP	4	case
4	dobu	NOUN	6	obl
5	partnerství	NOUN	4	nmod
6	snaží	VERB	0	root
7	učit	VERB	6	xcomp
8	se	PRON	7	obj
9	práci	NOUN	7	obl:arg
10	podle	ADP	12	case
11	japonské	ADJ	12	amod
12	zásady	NOUN	7	obl
13	"	PUNCT	20	punct
14	Čím	PRON	16	obl
15	pomaleji	ADV	16	advmod
16	kráčíš	VERB	18	advcl
17	,	PUNCT	16	punct
18	tím	DET	20	obl
19	dříve	ADV	20	advmod
20	dojdeš	VERB	12	acl:relcl
21	k	ADP	22	case
22	cíli	NOUN	20	obl
23	"	PUNCT	20	punct
24	,	PUNCT	27	punct
25	která	DET	27	nsubj
26	je	AUX	27	cop
27	jedním	NUM	12	acl:relcl
28	z	ADP	29	case
29	důvodů	NOUN	27	nmod
30	doposud	ADV	31	advmod
31	příznivého	ADJ	32	amod
32	vývoje	NOUN	29	nmod
33	japonské	ADJ	34	amod
34	ekonomiky	NOUN	32	nmod
35	.	PUNCT	6	punct