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:
K takovému kroku, který starosta města Alfred Stingl označil za "odvahu k odpovědnosti", se dosud neodvážilo žádné jiné město v Evropě.
Postion	Tokenization
1	K
2	takovému
3	kroku
4	,
5	který
6	starosta
7	města
8	Alfred
9	Stingl
10	označil
11	za
12	"
13	odvahu
14	k
15	odpovědnosti
16	"
17	,
18	se
19	dosud
20	neodvážilo
21	žádné
22	jiné
23	město
24	v
25	Evropě
26	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	takovému	DET	3	det
3	kroku	NOUN	20	obl:arg
4	,	PUNCT	10	punct
5	který	DET	10	obj
6	starosta	NOUN	10	nsubj
7	města	NOUN	6	nmod
8	Alfred	PROPN	6	flat
9	Stingl	PROPN	6	flat
10	označil	VERB	3	acl:relcl
11	za	ADP	13	case
12	"	PUNCT	13	punct
13	odvahu	NOUN	10	obl:arg
14	k	ADP	15	case
15	odpovědnosti	NOUN	13	nmod
16	"	PUNCT	13	punct
17	,	PUNCT	10	punct
18	se	PRON	20	expl:pv
19	dosud	ADV	20	advmod
20	neodvážilo	VERB	0	root
21	žádné	DET	23	det
22	jiné	ADJ	23	amod
23	město	NOUN	20	nsubj
24	v	ADP	25	case
25	Evropě	PROPN	23	nmod
26	.	PUNCT	20	punct