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 tokenized text:
Švýcarka z Rožnova pod Radhoštěm, jejíž prorokovaná kariéra by měla přesáhnout nebesa, vstoupila do profesionálního ringu loni v říjnu na turnaji v Curychu těsně po svých čtrnáctých narozeninách.
Postion	Tokenization
1	Švýcarka
2	z
3	Rožnova
4	pod
5	Radhoštěm
6	,
7	jejíž
8	prorokovaná
9	kariéra
10	by
11	měla
12	přesáhnout
13	nebesa
14	,
15	vstoupila
16	do
17	profesionálního
18	ringu
19	loni
20	v
21	říjnu
22	na
23	turnaji
24	v
25	Curychu
26	těsně
27	po
28	svých
29	čtrnáctých
30	narozeninách
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Švýcarka	PROPN	15	nsubj
2	z	ADP	3	case
3	Rožnova	PROPN	1	nmod
4	pod	ADP	5	case
5	Radhoštěm	PROPN	3	nmod
6	,	PUNCT	11	punct
7	jejíž	DET	9	det
8	prorokovaná	ADJ	9	amod
9	kariéra	NOUN	11	nsubj
10	by	AUX	11	aux
11	měla	VERB	1	acl:relcl
12	přesáhnout	VERB	11	xcomp
13	nebesa	NOUN	12	obj
14	,	PUNCT	11	punct
15	vstoupila	VERB	0	root
16	do	ADP	18	case
17	profesionálního	ADJ	18	amod
18	ringu	NOUN	15	obl
19	loni	ADV	15	advmod
20	v	ADP	21	case
21	říjnu	NOUN	15	obl
22	na	ADP	23	case
23	turnaji	NOUN	15	obl
24	v	ADP	25	case
25	Curychu	PROPN	23	nmod
26	těsně	ADV	15	advmod
27	po	ADP	30	case
28	svých	DET	30	det
29	čtrnáctých	ADJ	30	amod
30	narozeninách	NOUN	26	obl
31	.	PUNCT	15	punct