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:
Kdyby pacienti z blízkého okolí absolvovali léčbu u nás, tak ušetří za výdaje z rodinného rozpočtu, například za cestovné v případě návštěv příbuzných apod.
Postion	Tokenization
1	Kdyby
2	Když
3	by
4	pacienti
5	z
6	blízkého
7	okolí
8	absolvovali
9	léčbu
10	u
11	nás
12	,
13	tak
14	ušetří
15	za
16	výdaje
17	z
18	rodinného
19	rozpočtu
20	,
21	například
22	za
23	cestovné
24	v
25	případě
26	návštěv
27	příbuzných
28	apod
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdyby	_	None	_
2	Když	SCONJ	7	mark
3	by	AUX	7	aux
4	pacienti	NOUN	7	nsubj
5	z	ADP	6	case
6	blízkého	ADJ	6	amod
7	okolí	NOUN	3	nmod
8	absolvovali	VERB	13	advcl
9	léčbu	NOUN	7	obj
10	u	ADP	10	case
11	nás	PRON	7	obl
12	,	PUNCT	7	punct
13	tak	ADV	13	advmod
14	ušetří	VERB	0	root
15	za	ADP	15	case
16	výdaje	NOUN	13	obl:arg
17	z	ADP	18	case
18	rodinného	ADJ	18	amod
19	rozpočtu	NOUN	15	nmod
20	,	PUNCT	22	punct
21	například	ADV	22	cc
22	za	ADP	22	case
23	cestovné	NOUN	18	appos
24	v	ADP	24	case
25	případě	NOUN	22	nmod
26	návštěv	NOUN	24	nmod
27	příbuzných	NOUN	25	nmod
28	apod	ADV	18	appos
29	.	PUNCT	13	punct