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:
I had an interesting conversation with a middle-aged taxi driver who used to live in Fallujah and is now at relatives in Amiriya, Baghdad.
Postion	Tokenization
1	I
2	had
3	an
4	interesting
5	conversation
6	with
7	a
8	middle
9	-
10	aged
11	taxi
12	driver
13	who
14	used
15	to
16	live
17	in
18	Fallujah
19	and
20	is
21	now
22	at
23	relatives
24	in
25	Amiriya
26	,
27	Baghdad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	had	VERB	0	root
3	an	DET	5	det
4	interesting	ADJ	5	amod
5	conversation	NOUN	2	obj
6	with	ADP	12	case
7	a	DET	12	det
8	middle	ADJ	10	obl:npmod
9	-	PUNCT	10	punct
10	aged	ADJ	12	amod
11	taxi	NOUN	12	compound
12	driver	NOUN	5	nmod
13	who	PRON	14	nsubj
14	used	VERB	12	acl:relcl
15	to	PART	16	mark
16	live	VERB	14	xcomp
17	in	ADP	18	case
18	Fallujah	PROPN	16	obl
19	and	CCONJ	23	cc
20	is	AUX	23	cop
21	now	ADV	23	advmod
22	at	ADP	23	case
23	relatives	NOUN	14	conj
24	in	ADP	25	case
25	Amiriya	PROPN	23	nmod
26	,	PUNCT	25	punct
27	Baghdad	PROPN	25	appos
28	.	PUNCT	2	punct