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:
What I love most about this place, other than the food, is that eating here makes you feel like you're in a small town rather than Baltimore.
Postion	Tokenization
1	What
2	I
3	love
4	most
5	about
6	this
7	place
8	,
9	other
10	than
11	the
12	food
13	,
14	is
15	that
16	eating
17	here
18	makes
19	you
20	feel
21	like
22	you're
23	you
24	're
25	in
26	a
27	small
28	town
29	rather
30	than
31	Baltimore
32	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	14	nsubj
2	I	PRON	3	nsubj
3	love	VERB	1	acl:relcl
4	most	ADV	3	advmod
5	about	ADP	7	case
6	this	DET	7	det
7	place	NOUN	3	obl
8	,	PUNCT	3	punct
9	other	ADV	3	advmod
10	than	ADP	12	case
11	the	DET	12	det
12	food	NOUN	9	obl
13	,	PUNCT	14	punct
14	is	VERB	0	root
15	that	SCONJ	18	mark
16	eating	VERB	18	csubj
17	here	ADV	16	advmod
18	makes	VERB	14	ccomp
19	you	PRON	20	nsubj
20	feel	VERB	18	ccomp
21	like	SCONJ	27	mark
22	you're	_	None	_
23	you	PRON	27	nsubj
24	're	AUX	27	cop
25	in	ADP	27	case
26	a	DET	27	det
27	small	ADJ	27	amod
28	town	NOUN	20	advcl
29	rather	ADV	30	cc
30	than	ADP	28	fixed
31	Baltimore	PROPN	27	conj
32	.	PUNCT	14	punct