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: R. 1986 tři italští fyzikové - Giancarlo Ghirardi, Alberto Rimini a Tulio Weber - navrhli modifikaci Schrödingerovy rovnice, která jasně ilustruje rychlost, s níž se může změnit "vědecká krajina".
Position	Tokenization	UPOS	Head	Deprel
1	R	NOUN	17	obl
2	.	PUNCT	1	punct
3	1986	NUM	1	nummod
4	tři	NUM	6	nummod
5	italští	ADJ	6	amod
6	fyzikové	NOUN	17	nsubj
7	-	PUNCT	8	punct
8	Giancarlo	PROPN	6	appos
9	Ghirardi	PROPN	8	flat
10	,	PUNCT	11	punct
11	Alberto	PROPN	8	conj
12	Rimini	PROPN	11	flat
13	a	CCONJ	14	cc
14	Tulio	PROPN	8	conj
15	Weber	PROPN	14	flat
16	-	PUNCT	8	punct
17	navrhli	VERB	0	root
18	modifikaci	NOUN	17	obj
19	Schrödingerovy	ADJ	20	amod
20	rovnice	NOUN	18	nmod
21	,	PUNCT	24	punct
22	která	DET	24	nsubj
23	jasně	ADV	24	advmod
24	ilustruje	VERB	18	acl:relcl
25	rychlost	NOUN	24	obj
26	,	PUNCT	30	punct
27	s	ADP	28	case
28	níž	PRON	31	obl
29	se	PRON	31	expl:pv
30	může	VERB	25	acl:relcl
31	změnit	VERB	30	xcomp
32	"	PUNCT	34	punct
33	vědecká	ADJ	34	amod
34	krajina	NOUN	30	nsubj
35	"	PUNCT	34	punct
36	.	PUNCT	17	punct