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:
Statistika potvrdila to, co jsme věděli i před tím, že čím níže se člověk umístí ve společenském žebříčku, tím kratší dobu žije.
Postion	Tokenization
1	Statistika
2	potvrdila
3	to
4	,
5	co
6	jsme
7	věděli
8	i
9	před
10	tím
11	,
12	že
13	čím
14	níže
15	se
16	člověk
17	umístí
18	ve
19	společenském
20	žebříčku
21	,
22	tím
23	kratší
24	dobu
25	žije
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Statistika	NOUN	2	nsubj
2	potvrdila	VERB	0	root
3	to	DET	2	obj
4	,	PUNCT	7	punct
5	co	PRON	7	obj
6	jsme	AUX	7	aux
7	věděli	VERB	3	acl:relcl
8	i	CCONJ	10	advmod:emph
9	před	ADP	10	case
10	tím	DET	7	obl
11	,	PUNCT	25	punct
12	že	SCONJ	25	mark
13	čím	PRON	14	obl
14	níže	ADV	17	advmod
15	se	PRON	17	expl:pv
16	člověk	NOUN	17	nsubj
17	umístí	VERB	22	acl:relcl
18	ve	ADP	20	case
19	společenském	ADJ	20	amod
20	žebříčku	NOUN	17	obl
21	,	PUNCT	17	punct
22	tím	DET	23	obl
23	kratší	ADJ	24	amod
24	dobu	NOUN	25	obl
25	žije	VERB	3	appos
26	.	PUNCT	2	punct