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:
Put on a pair of spurs and before she makes that trot step, it's in the feeling when you feel her think trot, tick her with the spur and lift with your body to keep her moving.
Postion	Tokenization
1	Put
2	on
3	a
4	pair
5	of
6	spurs
7	and
8	before
9	she
10	makes
11	that
12	trot
13	step
14	,
15	it's
16	it
17	's
18	in
19	the
20	feeling
21	when
22	you
23	feel
24	her
25	think
26	trot
27	,
28	tick
29	her
30	with
31	the
32	spur
33	and
34	lift
35	with
36	your
37	body
38	to
39	keep
40	her
41	moving
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Put	VERB	0	root
2	on	ADP	1	compound:prt
3	a	DET	4	det
4	pair	NOUN	1	obj
5	of	ADP	6	case
6	spurs	NOUN	4	nmod
7	and	CCONJ	19	cc
8	before	SCONJ	10	mark
9	she	PRON	10	nsubj
10	makes	VERB	19	advcl
11	that	DET	13	det
12	trot	NOUN	13	compound
13	step	NOUN	10	obj
14	,	PUNCT	19	punct
15	it's	_	None	_
16	it	PRON	19	nsubj
17	's	AUX	19	cop
18	in	ADP	19	case
19	the	DET	19	det
20	feeling	NOUN	1	conj
21	when	SCONJ	22	mark
22	you	PRON	22	nsubj
23	feel	VERB	27	advcl
24	her	PRON	22	obj
25	think	VERB	22	xcomp
26	trot	NOUN	24	obj
27	,	PUNCT	24	punct
28	tick	VERB	1	conj
29	her	PRON	27	obj
30	with	ADP	31	case
31	the	DET	31	det
32	spur	NOUN	27	obl
33	and	CCONJ	33	cc
34	lift	VERB	27	conj
35	with	ADP	36	case
36	your	PRON	36	nmod:poss
37	body	NOUN	33	obl
38	to	PART	38	mark
39	keep	VERB	36	acl
40	her	PRON	38	obj
41	moving	VERB	38	xcomp
42	.	PUNCT	1	punct