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:
...but basically, what I do is the same thing I did with my puppy...lots of patience, lots of time, lots of praise, lots of treats, and lots of repition....Right?
Postion	Tokenization
1	...
2	but
3	basically
4	,
5	what
6	I
7	do
8	is
9	the
10	same
11	thing
12	I
13	did
14	with
15	my
16	puppy
17	...
18	lots
19	of
20	patience
21	,
22	lots
23	of
24	time
25	,
26	lots
27	of
28	praise
29	,
30	lots
31	of
32	treats
33	,
34	and
35	lots
36	of
37	repition
38	....
39	Right
40	?
Position	Tokenization	UPOS	Head	Deprel
1	...	PUNCT	11	punct
2	but	CCONJ	11	cc
3	basically	ADV	11	advmod
4	,	PUNCT	11	punct
5	what	PRON	7	obj
6	I	PRON	7	nsubj
7	do	VERB	11	csubj
8	is	AUX	11	cop
9	the	DET	11	det
10	same	ADJ	11	amod
11	thing	NOUN	0	root
12	I	PRON	13	nsubj
13	did	VERB	11	acl:relcl
14	with	ADP	16	case
15	my	PRON	16	nmod:poss
16	puppy	NOUN	13	obl
17	...	PUNCT	11	punct
18	lots	NOUN	11	appos
19	of	ADP	20	case
20	patience	NOUN	18	nmod
21	,	PUNCT	22	punct
22	lots	NOUN	18	conj
23	of	ADP	24	case
24	time	NOUN	22	nmod
25	,	PUNCT	26	punct
26	lots	NOUN	18	conj
27	of	ADP	28	case
28	praise	NOUN	26	nmod
29	,	PUNCT	30	punct
30	lots	NOUN	18	conj
31	of	ADP	32	case
32	treats	NOUN	30	nmod
33	,	PUNCT	35	punct
34	and	CCONJ	35	cc
35	lots	NOUN	18	conj
36	of	ADP	37	case
37	repition	NOUN	35	nmod
38	....	PUNCT	11	punct
39	Right	INTJ	11	discourse
40	?	PUNCT	11	punct