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:
Zápas se měl původně konat na Népstadióně, ale protože je blízko velvyslanectví ČSFR, bylo střetnutí přesunuto na stadión Ferencvároszu, který má i menší kapacitu.
Postion	Tokenization
1	Zápas
2	se
3	měl
4	původně
5	konat
6	na
7	Népstadióně
8	,
9	ale
10	protože
11	je
12	blízko
13	velvyslanectví
14	ČSFR
15	,
16	bylo
17	střetnutí
18	přesunuto
19	na
20	stadión
21	Ferencvároszu
22	,
23	který
24	má
25	i
26	menší
27	kapacitu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Zápas	NOUN	3	nsubj
2	se	PRON	5	expl:pv
3	měl	VERB	0	root
4	původně	ADV	3	advmod
5	konat	VERB	3	xcomp
6	na	ADP	7	case
7	Népstadióně	PROPN	5	obl
8	,	PUNCT	18	punct
9	ale	CCONJ	18	cc
10	protože	SCONJ	12	mark
11	je	AUX	12	cop
12	blízko	ADV	18	advcl
13	velvyslanectví	NOUN	12	nsubj
14	ČSFR	PROPN	13	nmod
15	,	PUNCT	12	punct
16	bylo	AUX	18	aux:pass
17	střetnutí	NOUN	18	nsubj:pass
18	přesunuto	ADJ	3	conj
19	na	ADP	20	case
20	stadión	NOUN	18	obl
21	Ferencvároszu	PROPN	20	nmod
22	,	PUNCT	24	punct
23	který	DET	24	nsubj
24	má	VERB	20	acl:relcl
25	i	CCONJ	27	advmod:emph
26	menší	ADJ	27	amod
27	kapacitu	NOUN	24	obj
28	.	PUNCT	3	punct