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:
Po rozpačitém přechodu na systém pojišťoven, kdy jejich váhavostí přišly lázně o spoustu klientů, se v současné době vztah mezi pojišťovnami a balneology začíná vyjasňovat.
Postion	Tokenization
1	Po
2	rozpačitém
3	přechodu
4	na
5	systém
6	pojišťoven
7	,
8	kdy
9	jejich
10	váhavostí
11	přišly
12	lázně
13	o
14	spoustu
15	klientů
16	,
17	se
18	v
19	současné
20	době
21	vztah
22	mezi
23	pojišťovnami
24	a
25	balneology
26	začíná
27	vyjasňovat
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	3	case
2	rozpačitém	ADJ	3	amod
3	přechodu	NOUN	26	obl
4	na	ADP	5	case
5	systém	NOUN	3	nmod
6	pojišťoven	NOUN	5	nmod
7	,	PUNCT	11	punct
8	kdy	ADV	11	advmod
9	jejich	DET	10	det
10	váhavostí	NOUN	11	obl
11	přišly	VERB	5	acl:relcl
12	lázně	NOUN	11	nsubj
13	o	ADP	14	case
14	spoustu	NOUN	11	obl:arg
15	klientů	NOUN	14	nmod
16	,	PUNCT	11	punct
17	se	PRON	27	expl:pv
18	v	ADP	20	case
19	současné	ADJ	20	amod
20	době	NOUN	26	obl
21	vztah	NOUN	26	nsubj
22	mezi	ADP	23	case
23	pojišťovnami	NOUN	21	nmod
24	a	CCONJ	25	cc
25	balneology	NOUN	23	conj
26	začíná	VERB	0	root
27	vyjasňovat	VERB	26	xcomp
28	.	PUNCT	26	punct