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: Kdyby vytrval, mohl si dodnes hrát s vláčky ve své vile v Rudné u Prahy, nepřijímat obsílky a nikým nerušen se těšit z milionů, ke kterým přišel díky působení v Bance Bohemia.
Position	Tokenization	UPOS	Head	Deprel
1	Kdyby	_	None	_
2	Když	SCONJ	3	mark
3	by	AUX	3	aux
4	vytrval	VERB	5	advcl
5	,	PUNCT	3	punct
6	mohl	VERB	0	root
7	si	PRON	8	expl:pv
8	dodnes	ADV	8	advmod
9	hrát	VERB	5	xcomp
10	s	ADP	10	case
11	vláčky	NOUN	8	obl
12	ve	ADP	13	case
13	své	DET	13	det
14	vile	NOUN	8	obl
15	v	ADP	15	case
16	Rudné	PROPN	8	obl
17	u	ADP	17	case
18	Prahy	PROPN	15	nmod
19	,	PUNCT	19	punct
20	nepřijímat	VERB	8	conj
21	obsílky	NOUN	19	obj
22	a	CCONJ	25	cc
23	nikým	PRON	23	obl:arg
24	nerušen	ADJ	25	xcomp
25	se	PRON	25	expl:pv
26	těšit	VERB	8	conj
27	z	ADP	27	case
28	milionů	NOUN	25	obl:arg
29	,	PUNCT	31	punct
30	ke	ADP	30	case
31	kterým	DET	31	obl:arg
32	přišel	VERB	27	acl:relcl
33	díky	ADP	33	case
34	působení	NOUN	31	obl
35	v	ADP	35	case
36	Bance	NOUN	33	nmod
37	Bohemia	PROPN	35	nmod
38	.	PUNCT	5	punct