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:
Druhá největší pojišťovna po Všeobecné (asi 6 miliónů), Hornická má nyní kolem 800000 klientů, ale například Moravskoslezská zhruba 90000 a Stavební necelých 130000.
Postion	Tokenization
1	Druhá
2	největší
3	pojišťovna
4	po
5	Všeobecné
6	(
7	asi
8	6
9	miliónů
10	)
11	,
12	Hornická
13	má
14	nyní
15	kolem
16	800000
17	klientů
18	,
19	ale
20	například
21	Moravskoslezská
22	zhruba
23	90000
24	a
25	Stavební
26	necelých
27	130000
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Druhá	ADJ	3	amod
2	největší	ADJ	3	amod
3	pojišťovna	NOUN	13	nsubj
4	po	ADP	5	case
5	Všeobecné	ADJ	2	dep
6	(	PUNCT	5	punct
7	asi	PART	8	advmod:emph
8	6	NUM	9	nummod:gov
9	miliónů	NOUN	5	dep
10	)	PUNCT	5	punct
11	,	PUNCT	12	punct
12	Hornická	ADJ	3	appos
13	má	VERB	0	root
14	nyní	ADV	13	advmod
15	kolem	ADP	17	case
16	800000	NUM	17	nummod:gov
17	klientů	NOUN	13	obl:arg
18	,	PUNCT	21	punct
19	ale	CCONJ	21	cc
20	například	ADV	21	advmod:emph
21	Moravskoslezská	ADJ	13	conj
22	zhruba	ADV	23	advmod:emph
23	90000	NUM	21	conj
24	a	CCONJ	25	cc
25	Stavební	ADJ	21	conj
26	necelých	ADJ	27	amod
27	130000	NUM	21	conj
28	.	PUNCT	13	punct