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:
Pravděpodobnosti obsazení blízkých hran nejsou v řadě případů zcela nezávislé (to je případ ferromagnetu) a jednoduchý perkolační model je třeba zobecnit tak, aby obsáhl i takové systémy.
Postion	Tokenization
1	Pravděpodobnosti
2	obsazení
3	blízkých
4	hran
5	nejsou
6	v
7	řadě
8	případů
9	zcela
10	nezávislé
11	(
12	to
13	je
14	případ
15	ferromagnetu
16	)
17	a
18	jednoduchý
19	perkolační
20	model
21	je
22	třeba
23	zobecnit
24	tak
25	,
26	aby
27	aby
28	by
29	obsáhl
30	i
31	takové
32	systémy
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Pravděpodobnosti	NOUN	10	nsubj
2	obsazení	NOUN	1	nmod
3	blízkých	ADJ	4	amod
4	hran	NOUN	2	nmod
5	nejsou	AUX	10	cop
6	v	ADP	7	case
7	řadě	NOUN	10	obl
8	případů	NOUN	7	nmod
9	zcela	ADV	10	advmod
10	nezávislé	ADJ	0	root
11	(	PUNCT	14	punct
12	to	DET	14	nsubj
13	je	AUX	14	cop
14	případ	NOUN	10	parataxis
15	ferromagnetu	NOUN	14	nmod
16	)	PUNCT	14	punct
17	a	CCONJ	22	cc
18	jednoduchý	ADJ	20	amod
19	perkolační	ADJ	20	amod
20	model	NOUN	23	obj
21	je	AUX	22	cop
22	třeba	ADJ	10	conj
23	zobecnit	VERB	22	csubj
24	tak	ADV	23	advmod
25	,	PUNCT	28	punct
26	aby	_	None	_
27	aby	SCONJ	28	mark
28	by	AUX	28	aux
29	obsáhl	VERB	23	advcl
30	i	CCONJ	31	advmod:emph
31	takové	DET	31	det
32	systémy	NOUN	28	obj
33	.	PUNCT	10	punct