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:
AP a italský státní rozhlas Radio-1 tvrdily, že kromě těchto dvou byl o život připraven také keňský zvukař Anthony Macharia, o němž Reuter oznámil, že je pohřešován.
Postion	Tokenization
1	AP
2	a
3	italský
4	státní
5	rozhlas
6	Radio
7	-
8	1
9	tvrdily
10	,
11	že
12	kromě
13	těchto
14	dvou
15	byl
16	o
17	život
18	připraven
19	také
20	keňský
21	zvukař
22	Anthony
23	Macharia
24	,
25	o
26	němž
27	Reuter
28	oznámil
29	,
30	že
31	je
32	pohřešován
33	.
Position	Tokenization	UPOS	Head	Deprel
1	AP	PROPN	9	nsubj
2	a	CCONJ	5	cc
3	italský	ADJ	5	amod
4	státní	ADJ	5	amod
5	rozhlas	NOUN	1	conj
6	Radio	PROPN	5	nmod
7	-	PUNCT	6	punct
8	1	NUM	6	nummod
9	tvrdily	VERB	0	root
10	,	PUNCT	18	punct
11	že	SCONJ	18	mark
12	kromě	ADP	13	case
13	těchto	DET	18	dep
14	dvou	NUM	13	dep
15	byl	AUX	18	aux:pass
16	o	ADP	17	case
17	život	NOUN	18	obl:arg
18	připraven	ADJ	9	obj
19	také	ADV	21	advmod:emph
20	keňský	ADJ	21	amod
21	zvukař	NOUN	18	nsubj:pass
22	Anthony	PROPN	21	flat
23	Macharia	PROPN	21	flat
24	,	PUNCT	28	punct
25	o	ADP	26	case
26	němž	PRON	28	obl:arg
27	Reuter	PROPN	28	nsubj
28	oznámil	VERB	21	acl:relcl
29	,	PUNCT	32	punct
30	že	SCONJ	32	mark
31	je	AUX	32	cop
32	pohřešován	ADJ	28	ccomp
33	.	PUNCT	9	punct