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: Podle nezávislého odborníka, který nechce být jmenován, slovenští policisté "zřejmě na vyšší příkaz se předem připravili na rozbití tábora Ferencvárosu, ale některé jednotlivce z řad maďarských návštěvníků zbytečně provokovali, neboť oni sami dali dostatek záminek k jinak nepochybně brutálnímu a nelidskému zákroku".
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	nezávislého	ADJ	3	amod
3	odborníka	NOUN	19	obl
4	,	PUNCT	6	punct
5	který	DET	6	nsubj
6	nechce	VERB	3	acl:relcl
7	být	AUX	8	aux:pass
8	jmenován	ADJ	6	obj
9	,	PUNCT	6	punct
10	slovenští	ADJ	11	amod
11	policisté	NOUN	19	nsubj
12	"	PUNCT	19	punct
13	zřejmě	ADV	16	advmod:emph
14	na	ADP	16	case
15	vyšší	ADJ	16	amod
16	příkaz	NOUN	19	obl
17	se	PRON	19	obj
18	předem	ADV	19	advmod
19	připravili	VERB	0	root
20	na	ADP	21	case
21	rozbití	NOUN	19	obl
22	tábora	NOUN	21	nmod
23	Ferencvárosu	PROPN	22	nmod
24	,	PUNCT	33	punct
25	ale	CCONJ	33	cc
26	některé	DET	27	det
27	jednotlivce	NOUN	33	obj
28	z	ADP	29	case
29	řad	NOUN	27	nmod
30	maďarských	ADJ	31	amod
31	návštěvníků	NOUN	29	nmod
32	zbytečně	ADV	33	advmod
33	provokovali	VERB	19	conj
34	,	PUNCT	38	punct
35	neboť	CCONJ	38	cc
36	oni	PRON	38	nsubj
37	sami	DET	36	xcomp
38	dali	VERB	33	conj
39	dostatek	NOUN	38	obj
40	záminek	NOUN	39	nmod
41	k	ADP	47	case
42	jinak	ADV	47	advmod:emph
43	nepochybně	ADV	47	advmod:emph
44	brutálnímu	ADJ	47	amod
45	a	CCONJ	46	cc
46	nelidskému	ADJ	44	conj
47	zákroku	NOUN	40	nmod
48	"	PUNCT	19	punct
49	.	PUNCT	19	punct