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 text: Již dvakrát musela maďarská policie vyklízet a následně i prohledávat budovu čs. velvyslanectví v Budapešti, když anonymní telefonáty vyhrožovaly bombovými útoky, které prý mají pomstít zásah čs. policistů proti fotbalovým fanouškům maďarského Ferencvárose.
Position	Tokenization	UPOS	Head	Deprel
1	Již	ADV	2	advmod:emph
2	dvakrát	ADV	3	obl
3	musela	VERB	0	root
4	maďarská	ADJ	5	amod
5	policie	NOUN	3	nsubj
6	vyklízet	VERB	3	xcomp
7	a	CCONJ	10	cc
8	následně	ADV	10	advmod
9	i	CCONJ	10	advmod:emph
10	prohledávat	VERB	6	conj
11	budovu	NOUN	10	obj
12	čs	ADJ	14	amod
13	.	PUNCT	12	punct
14	velvyslanectví	NOUN	11	nmod
15	v	ADP	16	case
16	Budapešti	PROPN	14	nmod
17	,	PUNCT	21	punct
18	když	SCONJ	21	mark
19	anonymní	ADJ	20	amod
20	telefonáty	NOUN	21	nsubj
21	vyhrožovaly	VERB	10	advcl
22	bombovými	ADJ	23	amod
23	útoky	NOUN	21	obl
24	,	PUNCT	27	punct
25	které	DET	27	nsubj
26	prý	PART	27	advmod
27	mají	VERB	23	acl:relcl
28	pomstít	VERB	27	xcomp
29	zásah	NOUN	28	obj
30	čs	ADJ	32	amod
31	.	PUNCT	30	punct
32	policistů	NOUN	29	nmod
33	proti	ADP	35	case
34	fotbalovým	ADJ	35	amod
35	fanouškům	NOUN	29	nmod
36	maďarského	ADJ	37	amod
37	Ferencvárose	PROPN	35	nmod
38	.	PUNCT	3	punct