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:
Díky touze nakutat a narýžovat stříbro a odhodlání lidí přinášet oběti se myšlenka města nejvýše položeného ve střední Evropě (1028 m nad mořem) začala postupně naplňovat.
Postion	Tokenization
1	Díky
2	touze
3	nakutat
4	a
5	narýžovat
6	stříbro
7	a
8	odhodlání
9	lidí
10	přinášet
11	oběti
12	se
13	myšlenka
14	města
15	nejvýše
16	položeného
17	ve
18	střední
19	Evropě
20	(
21	1028
22	m
23	nad
24	mořem
25	)
26	začala
27	postupně
28	naplňovat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Díky	ADP	2	case
2	touze	NOUN	26	obl
3	nakutat	VERB	2	acl
4	a	CCONJ	5	cc
5	narýžovat	VERB	3	conj
6	stříbro	NOUN	3	obj
7	a	CCONJ	8	cc
8	odhodlání	NOUN	2	conj
9	lidí	NOUN	8	nmod
10	přinášet	VERB	8	acl
11	oběti	NOUN	10	obj
12	se	PRON	26	expl:pass
13	myšlenka	NOUN	26	nsubj:pass
14	města	NOUN	13	nmod
15	nejvýše	ADV	16	advmod
16	položeného	ADJ	14	amod
17	ve	ADP	19	case
18	střední	ADJ	19	amod
19	Evropě	PROPN	16	obl
20	(	PUNCT	21	punct
21	1028	NUM	16	obl
22	m	NOUN	21	nmod
23	nad	ADP	24	case
24	mořem	NOUN	22	nmod
25	)	PUNCT	21	punct
26	začala	VERB	0	root
27	postupně	ADV	28	advmod
28	naplňovat	VERB	26	xcomp
29	.	PUNCT	26	punct