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: Superrychlá trať byla dosud milosrdná, další Brazilec Nelson Piquet vyvázl ze zatáčky Tamburello v roce 1987 pouze se zlomenýma nohama, Rakušan Gerhard Berger přežil požár vozu, v němž byl po havárii uvězněn.
Position	Tokenization	UPOS	Head	Deprel
1	Superrychlá	ADJ	2	amod
2	trať	NOUN	5	nsubj
3	byla	AUX	5	cop
4	dosud	ADV	5	advmod
5	milosrdná	ADJ	0	root
6	,	PUNCT	11	punct
7	další	ADJ	8	amod
8	Brazilec	PROPN	11	nsubj
9	Nelson	PROPN	8	flat
10	Piquet	PROPN	8	flat
11	vyvázl	VERB	5	appos
12	ze	ADP	13	case
13	zatáčky	NOUN	11	obl
14	Tamburello	PROPN	13	nmod
15	v	ADP	16	case
16	roce	NOUN	11	obl
17	1987	NUM	16	nummod
18	pouze	ADV	21	advmod:emph
19	se	ADP	21	case
20	zlomenýma	ADJ	21	amod
21	nohama	NOUN	11	obl
22	,	PUNCT	11	punct
23	Rakušan	PROPN	26	nsubj
24	Gerhard	PROPN	23	flat
25	Berger	PROPN	23	flat
26	přežil	VERB	5	appos
27	požár	NOUN	26	obj
28	vozu	NOUN	27	nmod
29	,	PUNCT	35	punct
30	v	ADP	31	case
31	němž	PRON	35	obl
32	byl	AUX	35	aux:pass
33	po	ADP	34	case
34	havárii	NOUN	35	obl
35	uvězněn	ADJ	28	amod
36	.	PUNCT	5	punct