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:
I'll also trot doing, down 2 beats, up one for a wile, then up 2 down 1 making sure the weight is going into the balls of my feet.
Postion	Tokenization
1	I'll
2	I
3	'll
4	also
5	trot
6	doing
7	,
8	down
9	2
10	beats
11	,
12	up
13	one
14	for
15	a
16	wile
17	,
18	then
19	up
20	2
21	down
22	1
23	making
24	sure
25	the
26	weight
27	is
28	going
29	into
30	the
31	balls
32	of
33	my
34	feet
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I'll	_	None	_
2	I	PRON	4	nsubj
3	'll	AUX	4	aux
4	also	ADV	4	advmod
5	trot	VERB	0	root
6	doing	VERB	4	ccomp
7	,	PUNCT	5	punct
8	down	ADV	5	xcomp
9	2	NUM	9	nummod
10	beats	NOUN	7	obl:npmod
11	,	PUNCT	9	punct
12	up	ADV	7	conj
13	one	NUM	11	obl:npmod
14	for	ADP	15	case
15	a	DET	15	det
16	wile	NOUN	11	obl
17	,	PUNCT	5	punct
18	then	ADV	18	advmod
19	up	ADV	7	conj
20	2	NUM	18	obl:npmod
21	down	ADV	11	conj
22	1	NUM	20	obl:npmod
23	making	VERB	5	advcl
24	sure	ADJ	22	xcomp
25	the	DET	25	det
26	weight	NOUN	27	nsubj
27	is	AUX	27	aux
28	going	VERB	23	ccomp
29	into	ADP	30	case
30	the	DET	30	det
31	balls	NOUN	27	obl
32	of	ADP	33	case
33	my	PRON	33	nmod:poss
34	feet	NOUN	30	nmod
35	.	PUNCT	4	punct