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:
Zákazníci se sami přesvědčují, že v databance Manažerského svazového fondu jsou kvalitní manažeři specialisté na marketing, personální práci a další otázky, zdravotně, psychologicky i jazykově přezkoušení.
Postion	Tokenization
1	Zákazníci
2	se
3	sami
4	přesvědčují
5	,
6	že
7	v
8	databance
9	Manažerského
10	svazového
11	fondu
12	jsou
13	kvalitní
14	manažeři
15	specialisté
16	na
17	marketing
18	,
19	personální
20	práci
21	a
22	další
23	otázky
24	,
25	zdravotně
26	,
27	psychologicky
28	i
29	jazykově
30	přezkoušení
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Zákazníci	NOUN	4	nsubj
2	se	PRON	4	expl:pv
3	sami	DET	1	xcomp
4	přesvědčují	VERB	0	root
5	,	PUNCT	12	punct
6	že	SCONJ	12	mark
7	v	ADP	8	case
8	databance	NOUN	12	obl
9	Manažerského	ADJ	11	amod
10	svazového	ADJ	11	amod
11	fondu	NOUN	8	nmod
12	jsou	VERB	4	ccomp
13	kvalitní	ADJ	14	amod
14	manažeři	NOUN	12	nsubj
15	specialisté	NOUN	14	nmod
16	na	ADP	17	case
17	marketing	NOUN	15	nmod
18	,	PUNCT	20	punct
19	personální	ADJ	20	amod
20	práci	NOUN	17	conj
21	a	CCONJ	23	cc
22	další	ADJ	23	amod
23	otázky	NOUN	17	conj
24	,	PUNCT	30	punct
25	zdravotně	ADV	30	advmod
26	,	PUNCT	27	punct
27	psychologicky	ADV	25	conj
28	i	CCONJ	29	cc
29	jazykově	ADV	25	conj
30	přezkoušení	ADJ	14	amod
31	.	PUNCT	4	punct