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:
Nutné snížení počtu pojišťoven je zdůvodňováno mimo jiné i tím, že mnohé malé pojišťovny mají vzhledem k počtu klientů neúměrně vysokou režii.
Postion	Tokenization
1	Nutné
2	snížení
3	počtu
4	pojišťoven
5	je
6	zdůvodňováno
7	mimo
8	jiné
9	i
10	tím
11	,
12	že
13	mnohé
14	malé
15	pojišťovny
16	mají
17	vzhledem
18	k
19	počtu
20	klientů
21	neúměrně
22	vysokou
23	režii
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Nutné	ADJ	2	amod
2	snížení	NOUN	6	nsubj:pass
3	počtu	NOUN	2	nmod
4	pojišťoven	NOUN	3	nmod
5	je	AUX	6	aux:pass
6	zdůvodňováno	ADJ	0	root
7	mimo	ADP	8	case
8	jiné	ADJ	6	obl
9	i	CCONJ	10	advmod:emph
10	tím	DET	6	obl
11	,	PUNCT	16	punct
12	že	SCONJ	16	mark
13	mnohé	ADJ	15	amod
14	malé	ADJ	15	amod
15	pojišťovny	NOUN	16	nsubj
16	mají	VERB	10	acl
17	vzhledem	ADP	19	case
18	k	ADP	17	fixed
19	počtu	NOUN	16	obl
20	klientů	NOUN	19	nmod
21	neúměrně	ADV	22	advmod
22	vysokou	ADJ	23	amod
23	režii	NOUN	16	obj
24	.	PUNCT	6	punct