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:
We live in the sub-division around the corner and after it happened and we brought it up at some neighborhood gatherings we discovered that several people from this neighborhood alone had pets goto Dr. Mann for surgical procedures and came back dead.
Postion	Tokenization
1	We
2	live
3	in
4	the
5	sub-division
6	around
7	the
8	corner
9	and
10	after
11	it
12	happened
13	and
14	we
15	brought
16	it
17	up
18	at
19	some
20	neighborhood
21	gatherings
22	we
23	discovered
24	that
25	several
26	people
27	from
28	this
29	neighborhood
30	alone
31	had
32	pets
33	go
34	to
35	Dr.
36	Mann
37	for
38	surgical
39	procedures
40	and
41	came
42	back
43	dead
44	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	live	VERB	0	root
3	in	ADP	5	case
4	the	DET	5	det
5	sub-division	NOUN	2	obl
6	around	ADP	8	case
7	the	DET	8	det
8	corner	NOUN	5	nmod
9	and	CCONJ	23	cc
10	after	SCONJ	12	mark
11	it	PRON	12	nsubj
12	happened	VERB	23	advcl
13	and	CCONJ	15	cc
14	we	PRON	15	nsubj
15	brought	VERB	12	conj
16	it	PRON	15	obj
17	up	ADP	15	compound:prt
18	at	ADP	21	case
19	some	DET	21	det
20	neighborhood	NOUN	21	compound
21	gatherings	NOUN	15	obl
22	we	PRON	23	nsubj
23	discovered	VERB	2	conj
24	that	SCONJ	31	mark
25	several	ADJ	26	amod
26	people	NOUN	31	nsubj
27	from	ADP	29	case
28	this	DET	29	det
29	neighborhood	NOUN	26	nmod
30	alone	ADV	29	advmod
31	had	VERB	23	ccomp
32	pets	NOUN	31	obj
33	go	VERB	31	xcomp
34	to	ADP	35	case
35	Dr.	PROPN	33	obl
36	Mann	PROPN	35	flat
37	for	ADP	39	case
38	surgical	ADJ	39	amod
39	procedures	NOUN	33	obl
40	and	CCONJ	41	cc
41	came	VERB	33	conj
42	back	ADV	41	advmod
43	dead	ADJ	41	advmod
44	.	PUNCT	2	punct