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's a little hard to get to by foot, they're rebuilding the bridge, but you can get someone to moto-taxi you there for a dollar or less.
Postion	Tokenization
1	It's
2	It
3	's
4	a
5	little
6	hard
7	to
8	get
9	to
10	by
11	foot
12	,
13	they're
14	they
15	're
16	rebuilding
17	the
18	bridge
19	,
20	but
21	you
22	can
23	get
24	someone
25	to
26	moto
27	-
28	taxi
29	you
30	there
31	for
32	a
33	dollar
34	or
35	less
36	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	5	nsubj
3	's	AUX	5	cop
4	a	DET	4	det
5	little	ADJ	5	obl:npmod
6	hard	ADJ	0	root
7	to	PART	7	mark
8	get	VERB	5	ccomp
9	to	ADP	7	obl
10	by	ADP	10	case
11	foot	NOUN	7	obl
12	,	PUNCT	5	punct
13	they're	_	None	_
14	they	PRON	14	nsubj
15	're	AUX	14	aux
16	rebuilding	VERB	5	parataxis
17	the	DET	16	det
18	bridge	NOUN	14	obj
19	,	PUNCT	21	punct
20	but	CCONJ	21	cc
21	you	PRON	21	nsubj
22	can	AUX	21	aux
23	get	VERB	5	conj
24	someone	PRON	21	obj
25	to	PART	26	mark
26	moto	NOUN	26	obl:npmod
27	-	PUNCT	26	punct
28	taxi	VERB	21	xcomp
29	you	PRON	26	obj
30	there	ADV	26	advmod
31	for	ADP	31	case
32	a	DET	31	det
33	dollar	NOUN	26	obl
34	or	CCONJ	33	cc
35	less	ADJ	31	nummod
36	.	PUNCT	5	punct