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:
Zatímco tuna ekvivalentu černého uhlí z dovozu stála v minulém roce průměrně 70 DEM (předloni 72 DEM), stejné množství uhlí z Porúří přišlo na 289 DEM (předloni 286 DEM).
Postion	Tokenization
1	Zatímco
2	tuna
3	ekvivalentu
4	černého
5	uhlí
6	z
7	dovozu
8	stála
9	v
10	minulém
11	roce
12	průměrně
13	70
14	DEM
15	(
16	předloni
17	72
18	DEM
19	)
20	,
21	stejné
22	množství
23	uhlí
24	z
25	Porúří
26	přišlo
27	na
28	289
29	DEM
30	(
31	předloni
32	286
33	DEM
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	8	mark
2	tuna	NOUN	8	nsubj
3	ekvivalentu	NOUN	2	nmod
4	černého	ADJ	5	amod
5	uhlí	NOUN	3	nmod
6	z	ADP	7	case
7	dovozu	NOUN	5	nmod
8	stála	VERB	26	advcl
9	v	ADP	11	case
10	minulém	ADJ	11	amod
11	roce	NOUN	8	obl
12	průměrně	ADV	8	advmod
13	70	NUM	8	obj
14	DEM	NOUN	13	nmod
15	(	PUNCT	16	punct
16	předloni	ADV	8	advmod
17	72	NUM	8	obj
18	DEM	NOUN	17	nmod
19	)	PUNCT	17	punct
20	,	PUNCT	8	punct
21	stejné	ADJ	22	amod
22	množství	NOUN	26	nsubj
23	uhlí	NOUN	22	nmod
24	z	ADP	25	case
25	Porúří	PROPN	23	nmod
26	přišlo	VERB	0	root
27	na	ADP	28	case
28	289	NUM	26	obl:arg
29	DEM	NOUN	28	nmod
30	(	PUNCT	26	punct
31	předloni	ADV	26	dep
32	286	NUM	26	dep
33	DEM	NOUN	32	nmod
34	)	PUNCT	26	punct
35	.	PUNCT	26	punct