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:
Then 1 lap at a walk around the arena with both my legs pulled out as far as I can, so they are not touching the saddle.
Postion	Tokenization
1	Then
2	1
3	lap
4	at
5	a
6	walk
7	around
8	the
9	arena
10	with
11	both
12	my
13	legs
14	pulled
15	out
16	as
17	far
18	as
19	I
20	can
21	,
22	so
23	they
24	are
25	not
26	touching
27	the
28	saddle
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Then	ADV	3	advmod
2	1	NUM	3	nummod
3	lap	NOUN	0	root
4	at	ADP	6	case
5	a	DET	6	det
6	walk	NOUN	3	nmod
7	around	ADP	9	case
8	the	DET	9	det
9	arena	NOUN	3	nmod
10	with	SCONJ	14	mark
11	both	DET	13	det:predet
12	my	PRON	13	nmod:poss
13	legs	NOUN	14	nsubj
14	pulled	VERB	3	advcl
15	out	ADP	14	compound:prt
16	as	ADV	17	advmod
17	far	ADV	14	advmod
18	as	SCONJ	20	mark
19	I	PRON	20	nsubj
20	can	AUX	17	advcl
21	,	PUNCT	14	punct
22	so	SCONJ	26	mark
23	they	PRON	26	nsubj
24	are	AUX	26	aux
25	not	PART	26	advmod
26	touching	VERB	14	advcl
27	the	DET	28	det
28	saddle	NOUN	26	obj
29	.	PUNCT	3	punct