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: "Můj Williams-Renault prokázal technické nedostatky, reagoval nervózně a Schumacherovu Benettonu jsem mohl jen závidět," posteskl si v článku Senna a zamyslel se nad dravým mládím za volantem: "Barrichellova nehoda a smrt Ratzenbergera mě utvrdily, že s přibývajícími nováčky stoupá nebezpečí.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Můj	DET	3	det
3	Williams	PROPN	6	nsubj
4	-	PUNCT	3	punct
5	Renault	PROPN	3	nmod
6	prokázal	VERB	21	ccomp
7	technické	ADJ	8	amod
8	nedostatky	NOUN	6	obj
9	,	PUNCT	10	punct
10	reagoval	VERB	6	conj
11	nervózně	ADV	10	advmod
12	a	CCONJ	16	cc
13	Schumacherovu	ADJ	18	obl:arg
14	Benettonu	PROPN	13	flat
15	jsem	AUX	16	aux
16	mohl	VERB	6	conj
17	jen	PART	18	advmod:emph
18	závidět	VERB	16	xcomp
19	,	PUNCT	6	punct
20	"	PUNCT	6	punct
21	posteskl	VERB	0	root
22	si	PRON	21	expl:pv
23	v	ADP	24	case
24	článku	NOUN	21	obl
25	Senna	PROPN	21	nsubj
26	a	CCONJ	27	cc
27	zamyslel	VERB	21	conj
28	se	PRON	27	expl:pv
29	nad	ADP	31	case
30	dravým	ADJ	31	amod
31	mládím	NOUN	27	obl:arg
32	za	ADP	33	case
33	volantem	NOUN	31	nmod
34	:	PUNCT	42	punct
35	"	PUNCT	42	punct
36	Barrichellova	ADJ	37	amod
37	nehoda	NOUN	42	nsubj
38	a	CCONJ	39	cc
39	smrt	NOUN	37	conj
40	Ratzenbergera	PROPN	39	nmod
41	mě	PRON	42	iobj
42	utvrdily	VERB	27	advcl
43	,	PUNCT	48	punct
44	že	SCONJ	48	mark
45	s	ADP	47	case
46	přibývajícími	ADJ	47	amod
47	nováčky	NOUN	48	obl
48	stoupá	VERB	42	ccomp
49	nebezpečí	NOUN	48	nsubj
50	.	PUNCT	21	punct