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:
Neil has a meeting in San Antonio (usually it is in Miami, San Francisco, Phoenix - not so great this year).
Postion	Tokenization
1	Neil
2	has
3	a
4	meeting
5	in
6	San
7	Antonio
8	(
9	usually
10	it
11	is
12	in
13	Miami
14	,
15	San
16	Francisco
17	,
18	Phoenix
19	-
20	not
21	so
22	great
23	this
24	year
25	)
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Neil	PROPN	2	nsubj
2	has	VERB	0	root
3	a	DET	4	det
4	meeting	NOUN	2	obj
5	in	ADP	6	case
6	San	PROPN	4	nmod
7	Antonio	PROPN	6	flat
8	(	PUNCT	22	punct
9	usually	ADV	13	advmod
10	it	PRON	13	nsubj
11	is	AUX	13	cop
12	in	ADP	13	case
13	Miami	PROPN	2	parataxis
14	,	PUNCT	15	punct
15	San	PROPN	13	conj
16	Francisco	PROPN	15	flat
17	,	PUNCT	18	punct
18	Phoenix	PROPN	13	conj
19	-	PUNCT	22	punct
20	not	PART	22	advmod
21	so	ADV	22	advmod
22	great	ADJ	13	parataxis
23	this	DET	24	det
24	year	NOUN	22	obl:tmod
25	)	PUNCT	20	punct
26	.	PUNCT	20	punct