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:
A skutečně: co může být efektnějšího než spojení nejuniverzálnějších - většinou potlačených - pudů s apelem na to, co člověk sám na sobě obdivuje nejvíc: tedy na kvality duchovní?
Postion	Tokenization
1	A
2	skutečně
3	:
4	co
5	může
6	být
7	efektnějšího
8	než
9	spojení
10	nejuniverzálnějších
11	-
12	většinou
13	potlačených
14	-
15	pudů
16	s
17	apelem
18	na
19	to
20	,
21	co
22	člověk
23	sám
24	na
25	sobě
26	obdivuje
27	nejvíc
28	:
29	tedy
30	na
31	kvality
32	duchovní
33	?
Position	Tokenization	UPOS	Head	Deprel
1	A	CCONJ	2	cc
2	skutečně	ADV	0	root
3	:	PUNCT	5	punct
4	co	PRON	5	nsubj
5	může	VERB	2	conj
6	být	AUX	7	cop
7	efektnějšího	ADJ	5	xcomp
8	než	SCONJ	9	mark
9	spojení	NOUN	7	advcl
10	nejuniverzálnějších	ADJ	15	amod
11	-	PUNCT	13	punct
12	většinou	ADV	13	advmod
13	potlačených	ADJ	10	conj
14	-	PUNCT	10	punct
15	pudů	NOUN	9	nmod
16	s	ADP	17	case
17	apelem	NOUN	9	nmod
18	na	ADP	19	case
19	to	DET	17	det
20	,	PUNCT	26	punct
21	co	PRON	26	obj
22	člověk	NOUN	26	nsubj
23	sám	DET	22	det
24	na	ADP	25	case
25	sobě	PRON	26	obl
26	obdivuje	VERB	19	acl:relcl
27	nejvíc	ADV	26	advmod
28	:	PUNCT	31	punct
29	tedy	ADV	31	cc
30	na	ADP	31	case
31	kvality	NOUN	19	appos
32	duchovní	ADJ	31	amod
33	?	PUNCT	2	punct