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: To ostatně neudělal ani čtyřnásobný mistr světa Alain Prost, kterého po skončení kariéry Senna loni u týmu Williams Renault nahradil, zato opět vystoupil s kritikou odpovědných za apatii vůči bezpečnosti závodníků.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	3	obj
2	ostatně	ADV	3	advmod
3	neudělal	VERB	0	root
4	ani	CCONJ	6	advmod:emph
5	čtyřnásobný	ADJ	6	amod
6	mistr	NOUN	3	nsubj
7	světa	NOUN	6	nmod
8	Alain	PROPN	6	flat
9	Prost	PROPN	6	flat
10	,	PUNCT	21	punct
11	kterého	DET	21	obj
12	po	ADP	13	case
13	skončení	NOUN	21	obl
14	kariéry	NOUN	13	nmod
15	Senna	PROPN	21	nsubj
16	loni	ADV	21	advmod
17	u	ADP	18	case
18	týmu	NOUN	21	obl
19	Williams	PROPN	20	nmod
20	Renault	PROPN	18	nmod
21	nahradil	VERB	6	acl:relcl
22	,	PUNCT	25	punct
23	zato	ADV	25	advmod
24	opět	ADV	25	advmod
25	vystoupil	VERB	3	conj
26	s	ADP	27	case
27	kritikou	NOUN	25	obl
28	odpovědných	ADJ	27	amod
29	za	ADP	30	case
30	apatii	NOUN	28	obl:arg
31	vůči	ADP	32	case
32	bezpečnosti	NOUN	30	nmod
33	závodníků	NOUN	32	nmod
34	.	PUNCT	3	punct