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 Sunburn missile, with its incredible speed and ability to avoid radar detection, would do terrible damage these ships if Iran chooses to retaliate in the Gulf after an American attack within its borders.
Postion	Tokenization
1	The
2	Sunburn
3	missile
4	,
5	with
6	its
7	incredible
8	speed
9	and
10	ability
11	to
12	avoid
13	radar
14	detection
15	,
16	would
17	do
18	terrible
19	damage
20	these
21	ships
22	if
23	Iran
24	chooses
25	to
26	retaliate
27	in
28	the
29	Gulf
30	after
31	an
32	American
33	attack
34	within
35	its
36	borders
37	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Sunburn	PROPN	3	compound
3	missile	NOUN	17	nsubj
4	,	PUNCT	17	punct
5	with	ADP	8	case
6	its	PRON	8	nmod:poss
7	incredible	ADJ	8	amod
8	speed	NOUN	17	obl
9	and	CCONJ	10	cc
10	ability	NOUN	8	conj
11	to	PART	12	mark
12	avoid	VERB	10	acl
13	radar	NOUN	14	compound
14	detection	NOUN	12	obj
15	,	PUNCT	17	punct
16	would	AUX	17	aux
17	do	VERB	0	root
18	terrible	ADJ	19	amod
19	damage	NOUN	17	obj
20	these	DET	21	det
21	ships	NOUN	17	obl:npmod
22	if	SCONJ	24	mark
23	Iran	PROPN	24	nsubj
24	chooses	VERB	17	advcl
25	to	PART	26	mark
26	retaliate	VERB	24	xcomp
27	in	ADP	29	case
28	the	DET	29	det
29	Gulf	NOUN	26	obl
30	after	ADP	33	case
31	an	DET	33	det
32	American	ADJ	33	amod
33	attack	NOUN	26	obl
34	within	ADP	36	case
35	its	PRON	36	nmod:poss
36	borders	NOUN	33	nmod
37	.	PUNCT	17	punct