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:
František Dombaj má právě do Neratova co nejdříve přijet, neboť mu zde nabídl pomoc a nový život páter Josef Suchár, správce střediska pro postižené děti.
Postion	Tokenization
1	František
2	Dombaj
3	má
4	právě
5	do
6	Neratova
7	co
8	nejdříve
9	přijet
10	,
11	neboť
12	mu
13	zde
14	nabídl
15	pomoc
16	a
17	nový
18	život
19	páter
20	Josef
21	Suchár
22	,
23	správce
24	střediska
25	pro
26	postižené
27	děti
28	.
Position	Tokenization	UPOS	Head	Deprel
1	František	PROPN	3	nsubj
2	Dombaj	PROPN	1	flat
3	má	VERB	0	root
4	právě	ADV	6	advmod:emph
5	do	ADP	6	case
6	Neratova	PROPN	9	obl
7	co	ADV	8	advmod
8	nejdříve	ADV	9	advmod
9	přijet	VERB	3	xcomp
10	,	PUNCT	14	punct
11	neboť	CCONJ	14	cc
12	mu	PRON	14	obl:arg
13	zde	ADV	14	advmod
14	nabídl	VERB	3	conj
15	pomoc	NOUN	14	obj
16	a	CCONJ	18	cc
17	nový	ADJ	18	amod
18	život	NOUN	15	conj
19	páter	NOUN	14	nsubj
20	Josef	PROPN	19	flat
21	Suchár	PROPN	19	flat
22	,	PUNCT	19	punct
23	správce	NOUN	19	nmod
24	střediska	NOUN	23	nmod
25	pro	ADP	27	case
26	postižené	ADJ	27	amod
27	děti	NOUN	24	nmod
28	.	PUNCT	3	punct