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: Německý pilot Michael Schumacher byl sice na trati Velké ceny Belgie, dalšího podniku MS automobilů formule 1 v Spa-Francorchamps nejrychlejší, ale několik hodin po závodu byl diskvalifikován pro nepřípustné vybavení jeho Benettonu.
Position	Tokenization	UPOS	Head	Deprel
1	Německý	ADJ	2	amod
2	pilot	NOUN	23	nsubj
3	Michael	PROPN	2	flat
4	Schumacher	PROPN	2	flat
5	byl	AUX	23	cop
6	sice	ADV	23	cc
7	na	ADP	8	case
8	trati	NOUN	23	obl
9	Velké	ADJ	10	amod
10	ceny	NOUN	8	nmod
11	Belgie	PROPN	10	nmod
12	,	PUNCT	14	punct
13	dalšího	ADJ	14	amod
14	podniku	NOUN	10	appos
15	MS	NOUN	14	nmod
16	automobilů	NOUN	15	nmod
17	formule	NOUN	16	nmod
18	1	NUM	17	nummod
19	v	ADP	22	case
20	Spa	PROPN	22	nmod
21	-	PUNCT	22	punct
22	Francorchamps	PROPN	8	nmod
23	nejrychlejší	ADJ	0	root
24	,	PUNCT	31	punct
25	ale	CCONJ	31	cc
26	několik	DET	27	det:numgov
27	hodin	NOUN	31	obl
28	po	ADP	29	case
29	závodu	NOUN	27	nmod
30	byl	AUX	31	aux:pass
31	diskvalifikován	ADJ	23	conj
32	pro	ADP	34	case
33	nepřípustné	ADJ	34	amod
34	vybavení	NOUN	31	obl
35	jeho	DET	36	det
36	Benettonu	PROPN	34	nmod
37	.	PUNCT	23	punct