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:
The family here (California) wanted to fly any family members from there to CA, so they could remain here until things got straightened out down there.
Postion	Tokenization
1	The
2	family
3	here
4	(
5	California
6	)
7	wanted
8	to
9	fly
10	any
11	family
12	members
13	from
14	there
15	to
16	CA
17	,
18	so
19	they
20	could
21	remain
22	here
23	until
24	things
25	got
26	straightened
27	out
28	down
29	there
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	family	NOUN	7	nsubj
3	here	ADV	2	acl
4	(	PUNCT	5	punct
5	California	PROPN	3	appos
6	)	PUNCT	5	punct
7	wanted	VERB	0	root
8	to	PART	9	mark
9	fly	VERB	7	xcomp
10	any	DET	12	det
11	family	NOUN	12	compound
12	members	NOUN	9	obj
13	from	ADP	14	case
14	there	ADV	12	nmod
15	to	ADP	16	case
16	CA	PROPN	9	obl
17	,	PUNCT	9	punct
18	so	SCONJ	21	mark
19	they	PRON	21	nsubj
20	could	AUX	21	aux
21	remain	VERB	9	advcl
22	here	ADV	21	advmod
23	until	SCONJ	26	mark
24	things	NOUN	26	nsubj:pass
25	got	AUX	26	aux:pass
26	straightened	VERB	21	advcl
27	out	ADP	26	compound:prt
28	down	ADV	29	advmod
29	there	ADV	26	advmod
30	.	PUNCT	7	punct