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:
Ale také - ekonomy a veřejností široce probírané - účinkování tří amerických manažerů v rozhodujících funkcích v Tatře, kteří přislíbili světoznámého výrobce nákladních vozů zeštíhlit a vyvést z krize.
Postion	Tokenization
1	Ale
2	také
3	-
4	ekonomy
5	a
6	veřejností
7	široce
8	probírané
9	-
10	účinkování
11	tří
12	amerických
13	manažerů
14	v
15	rozhodujících
16	funkcích
17	v
18	Tatře
19	,
20	kteří
21	přislíbili
22	světoznámého
23	výrobce
24	nákladních
25	vozů
26	zeštíhlit
27	a
28	vyvést
29	z
30	krize
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ale	CCONJ	10	cc
2	také	ADV	10	advmod:emph
3	-	PUNCT	8	punct
4	ekonomy	NOUN	8	obl:arg
5	a	CCONJ	6	cc
6	veřejností	NOUN	4	conj
7	široce	ADV	8	advmod
8	probírané	ADJ	10	amod
9	-	PUNCT	8	punct
10	účinkování	NOUN	0	root
11	tří	NUM	13	nummod
12	amerických	ADJ	13	amod
13	manažerů	NOUN	10	nmod
14	v	ADP	16	case
15	rozhodujících	ADJ	16	amod
16	funkcích	NOUN	13	nmod
17	v	ADP	18	case
18	Tatře	PROPN	16	nmod
19	,	PUNCT	21	punct
20	kteří	DET	21	nsubj
21	přislíbili	VERB	13	acl:relcl
22	světoznámého	ADJ	23	amod
23	výrobce	NOUN	26	obj
24	nákladních	ADJ	25	amod
25	vozů	NOUN	23	nmod
26	zeštíhlit	VERB	21	xcomp
27	a	CCONJ	28	cc
28	vyvést	VERB	26	conj
29	z	ADP	30	case
30	krize	NOUN	28	obl
31	.	PUNCT	10	punct