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:
Zmíněné průtahy způsobily, že se ekonomický propad od dubna dramaticky prohloubil a podle škodováckých propočtů dosáhne letos ztráta erfurtské firmy 76 milionů marek.
Postion	Tokenization
1	Zmíněné
2	průtahy
3	způsobily
4	,
5	že
6	se
7	ekonomický
8	propad
9	od
10	dubna
11	dramaticky
12	prohloubil
13	a
14	podle
15	škodováckých
16	propočtů
17	dosáhne
18	letos
19	ztráta
20	erfurtské
21	firmy
22	76
23	milionů
24	marek
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Zmíněné	ADJ	2	amod
2	průtahy	NOUN	3	nsubj
3	způsobily	VERB	0	root
4	,	PUNCT	12	punct
5	že	SCONJ	12	mark
6	se	PRON	12	expl:pv
7	ekonomický	ADJ	8	amod
8	propad	NOUN	12	nsubj
9	od	ADP	10	case
10	dubna	NOUN	12	obl
11	dramaticky	ADV	12	advmod
12	prohloubil	VERB	3	ccomp
13	a	CCONJ	17	cc
14	podle	ADP	16	case
15	škodováckých	ADJ	16	amod
16	propočtů	NOUN	17	obl
17	dosáhne	VERB	12	conj
18	letos	ADV	17	advmod
19	ztráta	NOUN	17	nsubj
20	erfurtské	ADJ	21	amod
21	firmy	NOUN	19	nmod
22	76	NUM	23	nummod
23	milionů	NOUN	17	obl:arg
24	marek	NOUN	23	nmod
25	.	PUNCT	3	punct