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:
So I say: I'm at the Radison Warwick hotel in Rittenhouse Square (built in 1926) do you deliver to the Warwick?
Postion	Tokenization
1	So
2	I
3	say
4	:
5	I'm
6	I
7	'm
8	at
9	the
10	Radison
11	Warwick
12	hotel
13	in
14	Rittenhouse
15	Square
16	(
17	built
18	in
19	1926
20	)
21	do
22	you
23	deliver
24	to
25	the
26	Warwick
27	?
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	3	advmod
2	I	PRON	3	nsubj
3	say	VERB	0	root
4	:	PUNCT	3	punct
5	I'm	_	None	_
6	I	PRON	11	nsubj
7	'm	AUX	11	cop
8	at	ADP	11	case
9	the	DET	11	det
10	Radison	PROPN	11	compound
11	Warwick	PROPN	11	compound
12	hotel	NOUN	3	ccomp
13	in	ADP	14	case
14	Rittenhouse	PROPN	14	compound
15	Square	PROPN	11	nmod
16	(	PUNCT	16	punct
17	built	VERB	11	acl
18	in	ADP	18	case
19	1926	NUM	16	obl
20	)	PUNCT	16	punct
21	do	AUX	22	aux
22	you	PRON	22	nsubj
23	deliver	VERB	3	ccomp
24	to	ADP	25	case
25	the	DET	25	det
26	Warwick	PROPN	22	obl
27	?	PUNCT	3	punct