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:
Zaměstnanecká pojišťovna Škody bude moci hradit zdravotní péči na vyšší úrovni než Všeobecná zdravotní pojišťovna, protože průměrný plat ve Škodě je vyšší než standardní příjmy pojištěnců VZP.
Postion	Tokenization
1	Zaměstnanecká
2	pojišťovna
3	Škody
4	bude
5	moci
6	hradit
7	zdravotní
8	péči
9	na
10	vyšší
11	úrovni
12	než
13	Všeobecná
14	zdravotní
15	pojišťovna
16	,
17	protože
18	průměrný
19	plat
20	ve
21	Škodě
22	je
23	vyšší
24	než
25	standardní
26	příjmy
27	pojištěnců
28	VZP
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Zaměstnanecká	ADJ	2	amod
2	pojišťovna	NOUN	5	nsubj
3	Škody	PROPN	2	nmod
4	bude	AUX	5	aux
5	moci	VERB	0	root
6	hradit	VERB	5	xcomp
7	zdravotní	ADJ	8	amod
8	péči	NOUN	6	obj
9	na	ADP	11	case
10	vyšší	ADJ	11	amod
11	úrovni	NOUN	6	obl
12	než	SCONJ	15	mark
13	Všeobecná	ADJ	15	amod
14	zdravotní	ADJ	15	amod
15	pojišťovna	PROPN	10	advcl
16	,	PUNCT	23	punct
17	protože	SCONJ	23	mark
18	průměrný	ADJ	19	amod
19	plat	NOUN	23	nsubj
20	ve	ADP	21	case
21	Škodě	PROPN	19	nmod
22	je	AUX	23	cop
23	vyšší	ADJ	5	advcl
24	než	SCONJ	26	mark
25	standardní	ADJ	26	amod
26	příjmy	NOUN	23	advcl
27	pojištěnců	NOUN	26	nmod
28	VZP	PROPN	27	nmod
29	.	PUNCT	5	punct