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:
Průměrná mzda se v červenci v Rumunsku zvýšila o 8.8 procenta proti červnu a dosáhla 142657 lei, což je v přepočtu asi 84 amerických dolarů.
Postion	Tokenization
1	Průměrná
2	mzda
3	se
4	v
5	červenci
6	v
7	Rumunsku
8	zvýšila
9	o
10	8.8
11	procenta
12	proti
13	červnu
14	a
15	dosáhla
16	142657
17	lei
18	,
19	což
20	je
21	v
22	přepočtu
23	asi
24	84
25	amerických
26	dolarů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrná	ADJ	2	amod
2	mzda	NOUN	8	nsubj
3	se	PRON	8	expl:pv
4	v	ADP	5	case
5	červenci	NOUN	8	obl
6	v	ADP	7	case
7	Rumunsku	PROPN	8	obl
8	zvýšila	VERB	0	root
9	o	ADP	11	case
10	8.8	NUM	11	nummod:gov
11	procenta	NOUN	8	obl
12	proti	ADP	13	case
13	červnu	NOUN	8	obl
14	a	CCONJ	15	cc
15	dosáhla	VERB	8	conj
16	142657	NUM	15	obj
17	lei	NOUN	16	nmod
18	,	PUNCT	26	punct
19	což	PRON	26	nsubj
20	je	AUX	26	cop
21	v	ADP	22	case
22	přepočtu	NOUN	26	obl
23	asi	PART	24	advmod:emph
24	84	NUM	26	nummod:gov
25	amerických	ADJ	26	amod
26	dolarů	NOUN	8	conj
27	.	PUNCT	8	punct