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:
and I said, YES, CENTER CITY PHILLY, and he says, NO, Warwick is a township, If you're at a Radison in Warwick thats too far, try dominos in Pottstown.
Postion	Tokenization
1	and
2	I
3	said
4	,
5	YES
6	,
7	CENTER
8	CITY
9	PHILLY
10	,
11	and
12	he
13	says
14	,
15	NO
16	,
17	Warwick
18	is
19	a
20	township
21	,
22	If
23	you're
24	you
25	're
26	at
27	a
28	Radison
29	in
30	Warwick
31	thats
32	that
33	s
34	too
35	far
36	,
37	try
38	dominos
39	in
40	Pottstown
41	.
Position	Tokenization	UPOS	Head	Deprel
1	and	CCONJ	13	cc
2	I	PRON	3	nsubj
3	said	VERB	0	root
4	,	PUNCT	3	punct
5	YES	INTJ	9	discourse
6	,	PUNCT	9	punct
7	CENTER	PROPN	8	compound
8	CITY	PROPN	9	compound
9	PHILLY	PROPN	3	ccomp
10	,	PUNCT	13	punct
11	and	CCONJ	13	cc
12	he	PRON	13	nsubj
13	says	VERB	3	conj
14	,	PUNCT	13	punct
15	NO	INTJ	20	discourse
16	,	PUNCT	20	punct
17	Warwick	PROPN	20	nsubj
18	is	AUX	20	cop
19	a	DET	20	det
20	township	NOUN	13	ccomp
21	,	PUNCT	20	punct
22	If	SCONJ	27	mark
23	you're	_	None	_
24	you	PRON	27	nsubj
25	're	AUX	27	cop
26	at	ADP	27	case
27	a	DET	27	det
28	Radison	PROPN	33	advcl
29	in	ADP	29	case
30	Warwick	PROPN	27	nmod
31	thats	_	None	_
32	that	PRON	33	nsubj
33	s	AUX	33	cop
34	too	ADV	33	advmod
35	far	ADJ	20	parataxis
36	,	PUNCT	20	punct
37	try	VERB	20	parataxis
38	dominos	PROPN	35	obj
39	in	ADP	38	case
40	Pottstown	PROPN	36	nmod
41	.	PUNCT	3	punct