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: Předseda FIA Max Mosley se zatím brání nařčení, že by odstranění špičkové elektroniky z vozů formule 1, o něž se výraznou měrou zasloužil, bylo příčinou tragických událostí v Imole.
Position	Tokenization	UPOS	Head	Deprel
1	Předseda	NOUN	7	nsubj
2	FIA	PROPN	1	nmod
3	Max	PROPN	1	flat
4	Mosley	PROPN	1	flat
5	se	PRON	7	expl:pv
6	zatím	ADV	7	advmod
7	brání	VERB	0	root
8	nařčení	NOUN	7	obl:arg
9	,	PUNCT	28	punct
10	že	SCONJ	28	mark
11	by	AUX	28	aux
12	odstranění	NOUN	28	nsubj
13	špičkové	ADJ	14	amod
14	elektroniky	NOUN	12	nmod
15	z	ADP	16	case
16	vozů	NOUN	12	nmod
17	formule	NOUN	16	nmod
18	1	NUM	17	nummod
19	,	PUNCT	25	punct
20	o	ADP	21	case
21	něž	PRON	25	obl:arg
22	se	PRON	25	expl:pv
23	výraznou	ADJ	24	amod
24	měrou	NOUN	25	obl
25	zasloužil	VERB	12	acl:relcl
26	,	PUNCT	25	punct
27	bylo	AUX	28	cop
28	příčinou	NOUN	8	acl
29	tragických	ADJ	30	amod
30	událostí	NOUN	28	nmod
31	v	ADP	32	case
32	Imole	PROPN	30	nmod
33	.	PUNCT	7	punct