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:
VCU is also minutes from Downtown Richmond, Canal Walk, Carytown, Stony Point, Short Pump, and the VCU Medical Center.
Postion	Tokenization
1	VCU
2	is
3	also
4	minutes
5	from
6	Downtown
7	Richmond
8	,
9	Canal
10	Walk
11	,
12	Carytown
13	,
14	Stony
15	Point
16	,
17	Short
18	Pump
19	,
20	and
21	the
22	VCU
23	Medical
24	Center
25	.
Position	Tokenization	UPOS	Head	Deprel
1	VCU	PROPN	7	nsubj
2	is	AUX	7	cop
3	also	ADV	7	advmod
4	minutes	NOUN	7	obl:npmod
5	from	ADP	7	case
6	Downtown	NOUN	7	compound
7	Richmond	PROPN	0	root
8	,	PUNCT	10	punct
9	Canal	PROPN	10	compound
10	Walk	PROPN	7	conj
11	,	PUNCT	12	punct
12	Carytown	PROPN	7	conj
13	,	PUNCT	15	punct
14	Stony	PROPN	15	compound
15	Point	PROPN	7	conj
16	,	PUNCT	18	punct
17	Short	PROPN	18	compound
18	Pump	PROPN	7	conj
19	,	PUNCT	24	punct
20	and	CCONJ	24	cc
21	the	DET	24	det
22	VCU	PROPN	24	compound
23	Medical	PROPN	24	compound
24	Center	PROPN	7	conj
25	.	PUNCT	7	punct