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:
V Rakousku se muži dožívají 72 let, ve Švédsku 74, v Maďarsku za 10 let od roku 1981 do roku 1991 se snížil průměrný věk z 65.5 na 65 let.
Postion	Tokenization
1	V
2	Rakousku
3	se
4	muži
5	dožívají
6	72
7	let
8	_
9	,
10	ve
11	Švédsku
12	74
13	,
14	v
15	Maďarsku
16	za
17	10
18	let
19	od
20	roku
21	1981
22	do
23	roku
24	1991
25	se
26	snížil
27	průměrný
28	věk
29	z
30	65.5
31	na
32	65
33	let
34	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Rakousku	PROPN	5	obl
3	se	PRON	5	expl:pv
4	muži	NOUN	5	nsubj
5	dožívají	VERB	0	root
6	72	NUM	7	nummod
7	let	NOUN	5	obl:arg
8	_	_	None	_
9	,	PUNCT	10	punct
10	ve	ADP	10	case
11	Švédsku	PROPN	5	conj
12	74	NUM	10	orphan
13	,	PUNCT	25	punct
14	v	ADP	14	case
15	Maďarsku	PROPN	25	obl
16	za	ADP	17	case
17	10	NUM	17	nummod:gov
18	let	NOUN	25	obl
19	od	ADP	19	case
20	roku	NOUN	25	obl
21	1981	NUM	19	nummod
22	do	ADP	22	case
23	roku	NOUN	25	obl
24	1991	NUM	22	nummod
25	se	PRON	25	expl:pv
26	snížil	VERB	5	conj
27	průměrný	ADJ	27	amod
28	věk	NOUN	25	nsubj
29	z	ADP	29	case
30	65.5	NUM	25	dep
31	na	ADP	32	case
32	65	NUM	32	nummod:gov
33	let	NOUN	25	obl:arg
34	.	PUNCT	5	punct