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:
Zítra bude sledovat utkání německé bundesligy mezi Kaiserslauternem (Kuka s Kadlecem) a Leverkusenem (Hapal), ve středu navštíví duel Nizozemsko - Portugalsko v Eindhovenu.
Postion	Tokenization
1	Zítra
2	bude
3	sledovat
4	utkání
5	německé
6	bundesligy
7	mezi
8	Kaiserslauternem
9	(
10	Kuka
11	s
12	Kadlecem
13	)
14	a
15	Leverkusenem
16	(
17	Hapal
18	)
19	,
20	ve
21	středu
22	navštíví
23	duel
24	Nizozemsko
25	-
26	Portugalsko
27	v
28	Eindhovenu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zítra	ADV	3	advmod
2	bude	AUX	3	aux
3	sledovat	VERB	0	root
4	utkání	NOUN	3	obj
5	německé	ADJ	6	amod
6	bundesligy	NOUN	4	nmod
7	mezi	ADP	8	case
8	Kaiserslauternem	NOUN	4	nmod
9	(	PUNCT	8	punct
10	Kuka	PROPN	8	dep
11	s	ADP	12	case
12	Kadlecem	PROPN	10	nmod
13	)	PUNCT	8	punct
14	a	CCONJ	15	cc
15	Leverkusenem	PROPN	8	conj
16	(	PUNCT	15	punct
17	Hapal	PROPN	15	dep
18	)	PUNCT	15	punct
19	,	PUNCT	22	punct
20	ve	ADP	21	case
21	středu	NOUN	22	obl
22	navštíví	VERB	3	conj
23	duel	NOUN	22	obj
24	Nizozemsko	PROPN	23	nmod
25	-	PUNCT	26	punct
26	Portugalsko	PROPN	24	conj
27	v	ADP	28	case
28	Eindhovenu	PROPN	23	nmod
29	.	PUNCT	3	punct