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:
Konference se koná u příležitosti pátečního zahájení provozu průplavu Dunaj-Mohan, připomněl bavorský premiér Max Streibl, který delegace přivítal v Norimberku.
Postion	Tokenization
1	Konference
2	se
3	koná
4	u
5	příležitosti
6	pátečního
7	zahájení
8	provozu
9	průplavu
10	Dunaj
11	-
12	Mohan
13	,
14	připomněl
15	bavorský
16	premiér
17	Max
18	Streibl
19	,
20	který
21	delegace
22	přivítal
23	v
24	Norimberku
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Konference	NOUN	3	nsubj:pass
2	se	PRON	3	expl:pass
3	koná	VERB	14	ccomp
4	u	ADP	5	case
5	příležitosti	NOUN	3	obl
6	pátečního	ADJ	7	amod
7	zahájení	NOUN	5	nmod
8	provozu	NOUN	7	nmod
9	průplavu	NOUN	8	nmod
10	Dunaj	PROPN	9	nmod
11	-	PUNCT	12	punct
12	Mohan	PROPN	10	conj
13	,	PUNCT	3	punct
14	připomněl	VERB	0	root
15	bavorský	ADJ	16	amod
16	premiér	NOUN	14	nsubj
17	Max	PROPN	16	flat
18	Streibl	PROPN	16	flat
19	,	PUNCT	22	punct
20	který	DET	22	nsubj
21	delegace	NOUN	22	obj
22	přivítal	VERB	16	acl:relcl
23	v	ADP	24	case
24	Norimberku	PROPN	22	obl
25	.	PUNCT	14	punct