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:
Jářku, když to neumějí, proč se neporadí třeba s Všeobecnou zdravotní pojišťovnou, kde letošní pojistné zálohují z loňských přeplatků zcela běžně?
Postion	Tokenization
1	Jářku
2	,
3	když
4	to
5	neumějí
6	,
7	proč
8	se
9	neporadí
10	třeba
11	s
12	Všeobecnou
13	zdravotní
14	pojišťovnou
15	,
16	kde
17	letošní
18	pojistné
19	zálohují
20	z
21	loňských
22	přeplatků
23	zcela
24	běžně
25	?
Position	Tokenization	UPOS	Head	Deprel
1	Jářku	INTJ	9	discourse
2	,	PUNCT	5	punct
3	když	SCONJ	5	mark
4	to	DET	5	obj
5	neumějí	VERB	9	advcl
6	,	PUNCT	5	punct
7	proč	ADV	9	advmod
8	se	PRON	9	expl:pv
9	neporadí	VERB	0	root
10	třeba	ADV	14	advmod:emph
11	s	ADP	14	case
12	Všeobecnou	ADJ	14	amod
13	zdravotní	ADJ	14	amod
14	pojišťovnou	NOUN	9	obl:arg
15	,	PUNCT	19	punct
16	kde	ADV	19	advmod
17	letošní	ADJ	18	amod
18	pojistné	NOUN	19	obj
19	zálohují	VERB	14	acl:relcl
20	z	ADP	22	case
21	loňských	ADJ	22	amod
22	přeplatků	NOUN	19	obl
23	zcela	ADV	24	advmod:emph
24	běžně	ADV	19	advmod
25	?	PUNCT	9	punct