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:
Before the phones went, I was told [my family in Biloxi] had lost their roof, barn, 2 oak trees and many pines and they were letting in water
Postion	Tokenization
1	Before
2	the
3	phones
4	went
5	,
6	I
7	was
8	told
9	[
10	my
11	family
12	in
13	Biloxi
14	]
15	had
16	lost
17	their
18	roof
19	,
20	barn
21	,
22	2
23	oak
24	trees
25	and
26	many
27	pines
28	and
29	they
30	were
31	letting
32	in
33	water
Position	Tokenization	UPOS	Head	Deprel
1	Before	SCONJ	4	mark
2	the	DET	3	det
3	phones	NOUN	4	nsubj
4	went	VERB	8	advcl
5	,	PUNCT	8	punct
6	I	PRON	8	nsubj:pass
7	was	AUX	8	aux:pass
8	told	VERB	0	root
9	[	PUNCT	11	punct
10	my	PRON	11	nmod:poss
11	family	NOUN	16	nsubj
12	in	ADP	13	case
13	Biloxi	PROPN	11	nmod
14	]	PUNCT	11	punct
15	had	AUX	16	aux
16	lost	VERB	8	ccomp
17	their	PRON	20	nmod:poss
18	roof	NOUN	16	obj
19	,	PUNCT	20	punct
20	barn	NOUN	18	conj
21	,	PUNCT	24	punct
22	2	NUM	24	nummod
23	oak	NOUN	24	compound
24	trees	NOUN	18	conj
25	and	CCONJ	27	cc
26	many	ADJ	27	amod
27	pines	NOUN	18	conj
28	and	CCONJ	31	cc
29	they	PRON	31	nsubj
30	were	AUX	31	aux
31	letting	VERB	16	conj
32	in	ADV	31	advmod
33	water	NOUN	31	obj