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:
The so called 'Tanker' wars in the late 1980s put Iran squarely in the bullseye of all nations seeking to transport oil out of the region.
Postion	Tokenization
1	The
2	so
3	called
4	'
5	Tanker
6	'
7	wars
8	in
9	the
10	late
11	1980s
12	put
13	Iran
14	squarely
15	in
16	the
17	bullseye
18	of
19	all
20	nations
21	seeking
22	to
23	transport
24	oil
25	out
26	of
27	the
28	region
29	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	7	det
2	so	ADV	3	advmod
3	called	VERB	7	amod
4	'	PUNCT	7	punct
5	Tanker	NOUN	7	compound
6	'	PUNCT	7	punct
7	wars	NOUN	12	nsubj
8	in	ADP	11	case
9	the	DET	11	det
10	late	ADJ	11	amod
11	1980s	NOUN	7	nmod
12	put	VERB	0	root
13	Iran	PROPN	12	obj
14	squarely	ADV	17	advmod
15	in	ADP	17	case
16	the	DET	17	det
17	bullseye	NOUN	12	obl
18	of	ADP	20	case
19	all	DET	20	det
20	nations	NOUN	17	nmod
21	seeking	VERB	20	acl
22	to	PART	23	mark
23	transport	VERB	21	xcomp
24	oil	NOUN	23	obj
25	out	ADP	28	case
26	of	ADP	28	case
27	the	DET	28	det
28	region	NOUN	23	obl
29	.	PUNCT	12	punct