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 just moved to a town outside Philly a couple of months back so I'm not an expert on the area.
Postion	Tokenization
1	We
2	just
3	moved
4	to
5	a
6	town
7	outside
8	Philly
9	a
10	couple
11	of
12	months
13	back
14	so
15	I'm
16	I
17	'm
18	not
19	an
20	expert
21	on
22	the
23	area
24	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	just	ADV	3	advmod
3	moved	VERB	0	root
4	to	ADP	6	case
5	a	DET	6	det
6	town	NOUN	3	obl
7	outside	ADP	8	case
8	Philly	PROPN	6	nmod
9	a	DET	10	det
10	couple	NOUN	13	obl:npmod
11	of	ADP	12	case
12	months	NOUN	10	nmod
13	back	ADV	3	advmod
14	so	ADV	19	advmod
15	I'm	_	None	_
16	I	PRON	19	nsubj
17	'm	AUX	19	cop
18	not	PART	19	advmod
19	an	DET	19	det
20	expert	NOUN	3	conj
21	on	ADP	22	case
22	the	DET	22	det
23	area	NOUN	19	nmod
24	.	PUNCT	3	punct