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:
Pomiňme možné osobní souvislosti toho autoritativního moralizujícího soudu (autor před rokem neúspěšně kandidoval na vedoucí místo v téže instituci, které dnes nemůže přijít na jméno).
Postion	Tokenization
1	Pomiňme
2	možné
3	osobní
4	souvislosti
5	toho
6	autoritativního
7	moralizujícího
8	soudu
9	(
10	autor
11	před
12	rokem
13	neúspěšně
14	kandidoval
15	na
16	vedoucí
17	místo
18	v
19	téže
20	instituci
21	,
22	které
23	dnes
24	nemůže
25	přijít
26	na
27	jméno
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Pomiňme	VERB	0	root
2	možné	ADJ	4	amod
3	osobní	ADJ	4	amod
4	souvislosti	NOUN	1	obj
5	toho	DET	8	det
6	autoritativního	ADJ	8	amod
7	moralizujícího	ADJ	8	amod
8	soudu	NOUN	4	nmod
9	(	PUNCT	14	punct
10	autor	NOUN	14	nsubj
11	před	ADP	12	case
12	rokem	NOUN	14	obl
13	neúspěšně	ADV	14	advmod
14	kandidoval	VERB	1	parataxis
15	na	ADP	17	case
16	vedoucí	ADJ	17	amod
17	místo	NOUN	14	obl:arg
18	v	ADP	20	case
19	téže	DET	20	det
20	instituci	NOUN	17	nmod
21	,	PUNCT	24	punct
22	které	DET	25	obl
23	dnes	ADV	24	advmod
24	nemůže	VERB	20	acl:relcl
25	přijít	VERB	24	xcomp
26	na	ADP	27	case
27	jméno	NOUN	25	obl:arg
28	)	PUNCT	14	punct
29	.	PUNCT	1	punct