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:
Iraqi cities such as Fallujah and Ramadi were on the truck route from Amman to Baghdad, and so came under the influence of the Salafi movement, which is popular in Jordan.
Postion	Tokenization
1	Iraqi
2	cities
3	such
4	as
5	Fallujah
6	and
7	Ramadi
8	were
9	on
10	the
11	truck
12	route
13	from
14	Amman
15	to
16	Baghdad
17	,
18	and
19	so
20	came
21	under
22	the
23	influence
24	of
25	the
26	Salafi
27	movement
28	,
29	which
30	is
31	popular
32	in
33	Jordan
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Iraqi	ADJ	2	amod
2	cities	NOUN	12	nsubj
3	such	ADJ	5	case
4	as	ADP	3	fixed
5	Fallujah	PROPN	2	nmod
6	and	CCONJ	7	cc
7	Ramadi	PROPN	5	conj
8	were	AUX	12	cop
9	on	ADP	12	case
10	the	DET	12	det
11	truck	NOUN	12	compound
12	route	NOUN	0	root
13	from	ADP	14	case
14	Amman	PROPN	12	nmod
15	to	ADP	16	case
16	Baghdad	PROPN	12	nmod
17	,	PUNCT	20	punct
18	and	CCONJ	20	cc
19	so	ADV	20	advmod
20	came	VERB	12	conj
21	under	ADP	23	case
22	the	DET	23	det
23	influence	NOUN	20	obl
24	of	ADP	27	case
25	the	DET	27	det
26	Salafi	PROPN	27	compound
27	movement	NOUN	23	nmod
28	,	PUNCT	27	punct
29	which	PRON	31	nsubj
30	is	AUX	31	cop
31	popular	ADJ	27	acl:relcl
32	in	ADP	33	case
33	Jordan	PROPN	31	obl
34	.	PUNCT	12	punct