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:
Egypt Air, compañía estatal creada hace 67 años, aseguró ayer por boca de su presidente, Mohammed Fahim Rayan, que nunca habían tenido un accidente fatal anteriormente.
Postion	Tokenization
1	Egypt
2	Air
3	,
4	compañía
5	estatal
6	creada
7	hace
8	67
9	años
10	,
11	aseguró
12	ayer
13	por
14	boca
15	de
16	su
17	presidente
18	,
19	Mohammed
20	Fahim
21	Rayan
22	,
23	que
24	nunca
25	habían
26	tenido
27	un
28	accidente
29	fatal
30	anteriormente
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Egypt	PROPN	11	nsubj
2	Air	PROPN	1	flat
3	,	PUNCT	4	punct
4	compañía	NOUN	1	appos
5	estatal	ADJ	4	amod
6	creada	ADJ	4	amod
7	hace	VERB	6	advcl
8	67	NUM	9	nummod
9	años	NOUN	7	obj
10	,	PUNCT	4	punct
11	aseguró	VERB	0	root
12	ayer	ADV	11	advmod
13	por	ADP	14	case
14	boca	NOUN	11	obl
15	de	ADP	17	case
16	su	DET	17	det
17	presidente	NOUN	14	nmod
18	,	PUNCT	19	punct
19	Mohammed	PROPN	17	appos
20	Fahim	PROPN	19	flat
21	Rayan	PROPN	19	flat
22	,	PUNCT	19	punct
23	que	SCONJ	26	mark
24	nunca	ADV	26	advmod
25	habían	AUX	26	aux
26	tenido	VERB	11	ccomp
27	un	DET	28	det
28	accidente	NOUN	26	obj
29	fatal	ADJ	28	amod
30	anteriormente	ADV	26	advmod
31	.	PUNCT	11	punct