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: Ve švýcarském Trübbachu, kde žijí, by měla vyrůst kopie melbournského dvorce se středně rychlým povrchem Rebound Ace, na kterém se dá hrát prakticky celý rok a hlavně Martina s ním měla největší problémy.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	3	case
2	švýcarském	ADJ	3	amod
3	Trübbachu	PROPN	9	obl
4	,	PUNCT	6	punct
5	kde	ADV	6	advmod
6	žijí	VERB	3	acl:relcl
7	,	PUNCT	6	punct
8	by	AUX	9	aux
9	měla	VERB	0	root
10	vyrůst	VERB	9	xcomp
11	kopie	NOUN	9	nsubj
12	melbournského	ADJ	13	amod
13	dvorce	NOUN	11	nmod
14	se	ADP	17	case
15	středně	ADV	16	advmod
16	rychlým	ADJ	17	amod
17	povrchem	NOUN	13	nmod
18	Rebound	ADJ	17	nmod
19	Ace	NOUN	18	flat:foreign
20	,	PUNCT	24	punct
21	na	ADP	22	case
22	kterém	DET	24	obl
23	se	PRON	24	expl:pass
24	dá	VERB	17	acl:relcl
25	hrát	VERB	24	xcomp
26	prakticky	ADV	27	advmod
27	celý	ADJ	28	amod
28	rok	NOUN	25	obl
29	a	CCONJ	34	cc
30	hlavně	ADV	34	advmod:emph
31	Martina	PROPN	34	nsubj
32	s	ADP	33	case
33	ním	PRON	34	obl
34	měla	VERB	24	conj
35	největší	ADJ	36	amod
36	problémy	NOUN	34	obj
37	.	PUNCT	9	punct