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:
Za poslední dva roky vláda pravého středu seškrtala z rozpočtu, zejména z položky na veřejný sektor, 77 miliard SEK a o dalších 80 miliard SEK chce rozpočet snížit v příštích čtyřech letech.
Postion	Tokenization
1	Za
2	poslední
3	dva
4	roky
5	vláda
6	pravého
7	středu
8	seškrtala
9	z
10	rozpočtu
11	,
12	zejména
13	z
14	položky
15	na
16	veřejný
17	sektor
18	,
19	77
20	miliard
21	SEK
22	a
23	o
24	dalších
25	80
26	miliard
27	SEK
28	chce
29	rozpočet
30	snížit
31	v
32	příštích
33	čtyřech
34	letech
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	4	case
2	poslední	ADJ	4	amod
3	dva	NUM	4	nummod
4	roky	NOUN	8	obl
5	vláda	NOUN	8	nsubj
6	pravého	ADJ	7	amod
7	středu	NOUN	5	nmod
8	seškrtala	VERB	0	root
9	z	ADP	10	case
10	rozpočtu	NOUN	8	obl
11	,	PUNCT	14	punct
12	zejména	ADV	14	advmod:emph
13	z	ADP	14	case
14	položky	NOUN	8	obl
15	na	ADP	17	case
16	veřejný	ADJ	17	amod
17	sektor	NOUN	14	nmod
18	,	PUNCT	14	punct
19	77	NUM	20	nummod:gov
20	miliard	NOUN	8	obj
21	SEK	NOUN	20	nmod
22	a	CCONJ	28	cc
23	o	ADP	26	case
24	dalších	ADJ	25	amod
25	80	NUM	26	nummod:gov
26	miliard	NOUN	30	obl
27	SEK	NOUN	26	nmod
28	chce	VERB	8	conj
29	rozpočet	NOUN	30	obj
30	snížit	VERB	28	xcomp
31	v	ADP	34	case
32	příštích	ADJ	34	amod
33	čtyřech	NUM	34	nummod
34	letech	NOUN	28	obl
35	.	PUNCT	8	punct