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 went home at lunch to check on him and he is doing 1000etter he was actually walkin around and wagin his tail :) thanks everbody for the info its greatly appreciated.
Postion	Tokenization
1	I
2	went
3	home
4	at
5	lunch
6	to
7	check
8	on
9	him
10	and
11	he
12	is
13	doing
14	1000
15	etter
16	he
17	was
18	actually
19	walkin
20	around
21	and
22	wagin
23	his
24	tail
25	:)
26	thanks
27	everbody
28	for
29	the
30	info
31	its
32	it
33	s
34	greatly
35	appreciated
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	went	VERB	0	root
3	home	ADV	2	advmod
4	at	ADP	5	case
5	lunch	NOUN	2	obl
6	to	PART	7	mark
7	check	VERB	2	advcl
8	on	ADP	9	case
9	him	PRON	7	obl
10	and	CCONJ	13	cc
11	he	PRON	13	nsubj
12	is	AUX	13	aux
13	doing	VERB	2	conj
14	1000	NUM	15	advmod
15	etter	ADV	13	advmod
16	he	PRON	19	nsubj
17	was	AUX	19	aux
18	actually	ADV	19	advmod
19	walkin	VERB	13	parataxis
20	around	ADV	19	advmod
21	and	CCONJ	22	cc
22	wagin	VERB	19	conj
23	his	PRON	24	nmod:poss
24	tail	NOUN	22	obj
25	:)	SYM	13	discourse
26	thanks	NOUN	2	parataxis
27	everbody	NOUN	26	obj
28	for	ADP	30	case
29	the	DET	30	det
30	info	NOUN	26	nmod
31	its	_	None	_
32	it	PRON	34	nsubj:pass
33	s	AUX	34	aux:pass
34	greatly	ADV	34	advmod
35	appreciated	VERB	26	parataxis
36	.	PUNCT	26	punct