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:
Podle Pavla Zacha z ČNZP mají prevenci ve svém programu všechny pojišťovny, ale málokdo v posledních letech absolvoval skutečně důkladné preventivní vyšetření.
Postion	Tokenization
1	Podle
2	Pavla
3	Zacha
4	z
5	ČNZP
6	mají
7	prevenci
8	ve
9	svém
10	programu
11	všechny
12	pojišťovny
13	,
14	ale
15	málokdo
16	v
17	posledních
18	letech
19	absolvoval
20	skutečně
21	důkladné
22	preventivní
23	vyšetření
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Pavla	PROPN	6	obl
3	Zacha	PROPN	2	flat
4	z	ADP	5	case
5	ČNZP	PROPN	2	nmod
6	mají	VERB	0	root
7	prevenci	NOUN	6	obj
8	ve	ADP	10	case
9	svém	DET	10	det
10	programu	NOUN	6	obl
11	všechny	DET	12	det
12	pojišťovny	NOUN	6	nsubj
13	,	PUNCT	19	punct
14	ale	CCONJ	19	cc
15	málokdo	PRON	19	nsubj
16	v	ADP	18	case
17	posledních	ADJ	18	amod
18	letech	NOUN	19	obl
19	absolvoval	VERB	6	conj
20	skutečně	ADV	21	advmod
21	důkladné	ADJ	23	amod
22	preventivní	ADJ	23	amod
23	vyšetření	NOUN	19	obj
24	.	PUNCT	6	punct