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:
It might just be coincidence or the fact those great big trotters with those extremely long backs lost a bit of fine coordination to get those gangly bodies around those tighter turns.
Postion	Tokenization
1	It
2	might
3	just
4	be
5	coincidence
6	or
7	the
8	fact
9	those
10	great
11	big
12	trotters
13	with
14	those
15	extremely
16	long
17	backs
18	lost
19	a
20	bit
21	of
22	fine
23	coordination
24	to
25	get
26	those
27	gangly
28	bodies
29	around
30	those
31	tighter
32	turns
33	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj
2	might	AUX	5	aux
3	just	ADV	5	advmod
4	be	AUX	5	cop
5	coincidence	NOUN	0	root
6	or	CCONJ	8	cc
7	the	DET	8	det
8	fact	NOUN	5	conj
9	those	DET	12	det
10	great	ADJ	12	amod
11	big	ADJ	12	amod
12	trotters	NOUN	18	nsubj
13	with	ADP	17	case
14	those	DET	17	det
15	extremely	ADV	16	advmod
16	long	ADJ	17	amod
17	backs	NOUN	12	nmod
18	lost	VERB	8	acl
19	a	DET	20	det
20	bit	NOUN	18	obj
21	of	ADP	23	case
22	fine	ADJ	23	amod
23	coordination	NOUN	20	nmod
24	to	PART	25	mark
25	get	VERB	18	advcl
26	those	DET	28	det
27	gangly	ADJ	28	amod
28	bodies	NOUN	25	obj
29	around	ADP	32	case
30	those	DET	32	det
31	tighter	ADJ	32	amod
32	turns	NOUN	25	obl
33	.	PUNCT	5	punct