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 v Linee, která dosahuje 5500 korun, by se měla podle P. Ambrose do konce roku zvýšit na 6000 korun.
Postion	Tokenization
1	Průměrná
2	mzda
3	v
4	Linee
5	,
6	která
7	dosahuje
8	5500
9	korun
10	,
11	by
12	se
13	měla
14	podle
15	P
16	.
17	Ambrose
18	do
19	konce
20	roku
21	zvýšit
22	na
23	6000
24	korun
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Průměrná	ADJ	2	amod
2	mzda	NOUN	13	nsubj:pass
3	v	ADP	4	case
4	Linee	PROPN	2	nmod
5	,	PUNCT	7	punct
6	která	DET	7	nsubj
7	dosahuje	VERB	2	acl:relcl
8	5500	NUM	9	nummod
9	korun	NOUN	7	obl:arg
10	,	PUNCT	7	punct
11	by	AUX	13	aux
12	se	PRON	13	expl:pass
13	měla	VERB	0	root
14	podle	ADP	15	case
15	P	PROPN	13	obl
16	.	PUNCT	15	punct
17	Ambrose	PROPN	15	flat
18	do	ADP	19	case
19	konce	NOUN	13	obl
20	roku	NOUN	19	nmod
21	zvýšit	VERB	13	xcomp
22	na	ADP	24	case
23	6000	NUM	24	nummod:gov
24	korun	NOUN	21	obl:arg
25	.	PUNCT	13	punct