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:
Odborovým předákům však nepřipadá dostatečně efektivní, aby zdůvodnila existenci mamutí odborové centrály s obrovským nemovitým majetkem zděděným po Revolučním odborovém hnutí.
Postion	Tokenization
1	Odborovým
2	předákům
3	však
4	nepřipadá
5	dostatečně
6	efektivní
7	,
8	aby
9	aby
10	by
11	zdůvodnila
12	existenci
13	mamutí
14	odborové
15	centrály
16	s
17	obrovským
18	nemovitým
19	majetkem
20	zděděným
21	po
22	Revolučním
23	odborovém
24	hnutí
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Odborovým	ADJ	2	amod
2	předákům	NOUN	4	obl:arg
3	však	CCONJ	4	cc
4	nepřipadá	VERB	0	root
5	dostatečně	ADV	6	advmod
6	efektivní	ADJ	4	obj
7	,	PUNCT	10	punct
8	aby	_	None	_
9	aby	SCONJ	10	mark
10	by	AUX	10	aux
11	zdůvodnila	VERB	4	csubj
12	existenci	NOUN	10	obj
13	mamutí	ADJ	14	amod
14	odborové	ADJ	14	amod
15	centrály	NOUN	11	nmod
16	s	ADP	18	case
17	obrovským	ADJ	18	amod
18	nemovitým	ADJ	18	amod
19	majetkem	NOUN	14	nmod
20	zděděným	ADJ	18	amod
21	po	ADP	23	case
22	Revolučním	ADJ	23	amod
23	odborovém	ADJ	23	amod
24	hnutí	NOUN	19	obl
25	.	PUNCT	4	punct