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:
"Oberstdorf bude pro nás významný, protože tam se rozhodne, kdo bude český skok reprezentovat na MS v Thunder Bay," řekl trenér Jiří Raška.
Postion	Tokenization
1	"
2	Oberstdorf
3	bude
4	pro
5	nás
6	významný
7	,
8	protože
9	tam
10	se
11	rozhodne
12	,
13	kdo
14	bude
15	český
16	skok
17	reprezentovat
18	na
19	MS
20	v
21	Thunder
22	Bay
23	,
24	"
25	řekl
26	trenér
27	Jiří
28	Raška
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Oberstdorf	PROPN	6	nsubj
3	bude	AUX	6	cop
4	pro	ADP	5	case
5	nás	PRON	6	obl
6	významný	ADJ	25	ccomp
7	,	PUNCT	11	punct
8	protože	SCONJ	11	mark
9	tam	ADV	11	advmod
10	se	PRON	11	expl:pass
11	rozhodne	VERB	6	advcl
12	,	PUNCT	17	punct
13	kdo	PRON	17	nsubj
14	bude	AUX	17	aux
15	český	ADJ	16	amod
16	skok	NOUN	17	obj
17	reprezentovat	VERB	11	ccomp
18	na	ADP	19	case
19	MS	NOUN	17	obl
20	v	ADP	22	case
21	Thunder	ADJ	22	amod
22	Bay	PROPN	19	nmod
23	,	PUNCT	6	punct
24	"	PUNCT	6	punct
25	řekl	VERB	0	root
26	trenér	NOUN	25	nsubj
27	Jiří	PROPN	26	flat
28	Raška	PROPN	26	flat
29	.	PUNCT	25	punct