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:
When I first get on I take 1 leg and pull it back up to touch my butt with my heel and hold it there for 1 lap at a walk around a large dressage arena.
Postion	Tokenization
1	When
2	I
3	first
4	get
5	on
6	I
7	take
8	1
9	leg
10	and
11	pull
12	it
13	back
14	up
15	to
16	touch
17	my
18	butt
19	with
20	my
21	heel
22	and
23	hold
24	it
25	there
26	for
27	1
28	lap
29	at
30	a
31	walk
32	around
33	a
34	large
35	dressage
36	arena
37	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	I	PRON	4	nsubj
3	first	ADV	4	advmod
4	get	VERB	7	advcl
5	on	ADV	4	advmod
6	I	PRON	7	nsubj
7	take	VERB	0	root
8	1	NUM	9	nummod
9	leg	NOUN	7	obj
10	and	CCONJ	11	cc
11	pull	VERB	7	conj
12	it	PRON	11	obj
13	back	ADV	14	advmod
14	up	ADV	11	advmod
15	to	PART	16	mark
16	touch	VERB	11	advcl
17	my	PRON	18	nmod:poss
18	butt	NOUN	16	obj
19	with	ADP	21	case
20	my	PRON	21	nmod:poss
21	heel	NOUN	16	obl
22	and	CCONJ	23	cc
23	hold	VERB	16	conj
24	it	PRON	23	obj
25	there	ADV	23	advmod
26	for	ADP	28	case
27	1	NUM	28	nummod
28	lap	NOUN	23	obl
29	at	ADP	31	case
30	a	DET	31	det
31	walk	NOUN	23	obl
32	around	ADP	36	case
33	a	DET	36	det
34	large	ADJ	36	amod
35	dressage	NOUN	36	compound
36	arena	NOUN	31	nmod
37	.	PUNCT	7	punct