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:
Nová pravicová vláda ve Švédsku reagovala ozdravným programem: prudce snížila daně, tedy své příjmy, rozpočtové výdaje se jí ovšem v takovém rozsahu hned v prvním roce snížit nepodařilo.
Postion	Tokenization
1	Nová
2	pravicová
3	vláda
4	ve
5	Švédsku
6	reagovala
7	ozdravným
8	programem
9	:
10	prudce
11	snížila
12	daně
13	,
14	tedy
15	své
16	příjmy
17	,
18	rozpočtové
19	výdaje
20	se
21	jí
22	ovšem
23	v
24	takovém
25	rozsahu
26	hned
27	v
28	prvním
29	roce
30	snížit
31	nepodařilo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Nová	ADJ	3	amod
2	pravicová	ADJ	3	amod
3	vláda	NOUN	6	nsubj
4	ve	ADP	5	case
5	Švédsku	PROPN	3	nmod
6	reagovala	VERB	0	root
7	ozdravným	ADJ	8	amod
8	programem	NOUN	6	obl
9	:	PUNCT	11	punct
10	prudce	ADV	11	advmod
11	snížila	VERB	6	conj
12	daně	NOUN	11	obj
13	,	PUNCT	16	punct
14	tedy	ADV	16	cc
15	své	DET	16	det
16	příjmy	NOUN	12	appos
17	,	PUNCT	31	punct
18	rozpočtové	ADJ	19	amod
19	výdaje	NOUN	30	obj
20	se	PRON	31	expl:pv
21	jí	PRON	31	obl:arg
22	ovšem	CCONJ	31	cc
23	v	ADP	25	case
24	takovém	DET	25	det
25	rozsahu	NOUN	30	obl
26	hned	ADV	29	advmod:emph
27	v	ADP	29	case
28	prvním	ADJ	29	amod
29	roce	NOUN	30	obl
30	snížit	VERB	31	csubj
31	nepodařilo	VERB	11	conj
32	.	PUNCT	6	punct