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:
He may have been seen in Hamilton, Canada -- along with Egyptian al-Maati, who apparently also has received pilot training.
Postion	Tokenization
1	He
2	may
3	have
4	been
5	seen
6	in
7	Hamilton
8	,
9	Canada
10	--
11	along
12	with
13	Egyptian
14	al
15	-
16	Maati
17	,
18	who
19	apparently
20	also
21	has
22	received
23	pilot
24	training
25	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	5	nsubj:pass
2	may	AUX	5	aux
3	have	AUX	5	aux
4	been	AUX	5	aux:pass
5	seen	VERB	0	root
6	in	ADP	7	case
7	Hamilton	PROPN	5	obl
8	,	PUNCT	7	punct
9	Canada	PROPN	7	appos
10	--	PUNCT	5	punct
11	along	ADP	14	case
12	with	ADP	14	case
13	Egyptian	PROPN	14	compound
14	al	PROPN	5	obl
15	-	PUNCT	14	punct
16	Maati	PROPN	14	flat
17	,	PUNCT	14	punct
18	who	PRON	22	nsubj
19	apparently	ADV	22	advmod
20	also	ADV	22	advmod
21	has	AUX	22	aux
22	received	VERB	14	acl:relcl
23	pilot	NOUN	24	compound
24	training	NOUN	22	obj
25	.	PUNCT	5	punct