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:
Že se fotbalový svaz pochlubil panu Johanssonovi (předseda UEFA - pozn. red.) stadiónem Sparty a že se podařilo potlačit některé emoce mezi kluby.
Postion	Tokenization
1	Že
2	se
3	fotbalový
4	svaz
5	pochlubil
6	panu
7	Johanssonovi
8	(
9	předseda
10	UEFA
11	-
12	pozn
13	.
14	red
15	.
16	)
17	stadiónem
18	Sparty
19	a
20	že
21	se
22	podařilo
23	potlačit
24	některé
25	emoce
26	mezi
27	kluby
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Že	SCONJ	5	mark
2	se	PRON	5	expl:pv
3	fotbalový	ADJ	4	amod
4	svaz	NOUN	5	nsubj
5	pochlubil	VERB	0	root
6	panu	NOUN	5	obl:arg
7	Johanssonovi	PROPN	6	flat
8	(	PUNCT	6	punct
9	předseda	NOUN	6	dep
10	UEFA	PROPN	9	nmod
11	-	PUNCT	9	punct
12	pozn	NOUN	9	dep
13	.	PUNCT	12	punct
14	red	NOUN	12	nmod
15	.	PUNCT	14	punct
16	)	PUNCT	6	punct
17	stadiónem	NOUN	5	obl:arg
18	Sparty	PROPN	17	nmod
19	a	CCONJ	22	cc
20	že	SCONJ	22	mark
21	se	PRON	22	expl:pv
22	podařilo	VERB	5	conj
23	potlačit	VERB	22	csubj
24	některé	DET	25	det
25	emoce	NOUN	23	obj
26	mezi	ADP	27	case
27	kluby	NOUN	25	nmod
28	.	PUNCT	5	punct