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:
Udělal nejen těžkou hlavu své straně, navíc ohrozil i ekonomický plán, který Brazilcům poprvé od roku 1986, kdy začala nevídaná inflace měny, sliboval krok k blahobytu.
Postion	Tokenization
1	Udělal
2	nejen
3	těžkou
4	hlavu
5	své
6	straně
7	,
8	navíc
9	ohrozil
10	i
11	ekonomický
12	plán
13	,
14	který
15	Brazilcům
16	poprvé
17	od
18	roku
19	1986
20	,
21	kdy
22	začala
23	nevídaná
24	inflace
25	měny
26	,
27	sliboval
28	krok
29	k
30	blahobytu
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Udělal	VERB	0	root
2	nejen	PART	4	advmod:emph
3	těžkou	ADJ	4	amod
4	hlavu	NOUN	1	obj
5	své	DET	6	det
6	straně	NOUN	1	obl:arg
7	,	PUNCT	9	punct
8	navíc	ADV	9	advmod
9	ohrozil	VERB	1	conj
10	i	CCONJ	12	advmod:emph
11	ekonomický	ADJ	12	amod
12	plán	NOUN	9	obj
13	,	PUNCT	27	punct
14	který	DET	27	nsubj
15	Brazilcům	PROPN	27	obl:arg
16	poprvé	ADV	27	obl
17	od	ADP	18	case
18	roku	NOUN	16	obl
19	1986	NUM	18	nummod
20	,	PUNCT	22	punct
21	kdy	ADV	22	advmod
22	začala	VERB	18	acl:relcl
23	nevídaná	ADJ	24	amod
24	inflace	NOUN	22	nsubj
25	měny	NOUN	24	nmod
26	,	PUNCT	22	punct
27	sliboval	VERB	12	acl:relcl
28	krok	NOUN	27	obj
29	k	ADP	30	case
30	blahobytu	NOUN	28	nmod
31	.	PUNCT	1	punct