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:
If I remember, students went to Dartmouth, U.Penn, Duke, BU, William and Mary, Vassar, Howard, and Carnegie Mellon, among others.
Postion	Tokenization
1	If
2	I
3	remember
4	,
5	students
6	went
7	to
8	Dartmouth
9	,
10	U.
11	Penn
12	,
13	Duke
14	,
15	BU
16	,
17	William
18	and
19	Mary
20	,
21	Vassar
22	,
23	Howard
24	,
25	and
26	Carnegie
27	Mellon
28	,
29	among
30	others
31	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	I	PRON	3	nsubj
3	remember	VERB	6	advcl
4	,	PUNCT	6	punct
5	students	NOUN	6	nsubj
6	went	VERB	0	root
7	to	ADP	8	case
8	Dartmouth	PROPN	6	obl
9	,	PUNCT	11	punct
10	U.	PROPN	11	compound
11	Penn	PROPN	8	conj
12	,	PUNCT	13	punct
13	Duke	PROPN	8	conj
14	,	PUNCT	15	punct
15	BU	PROPN	8	conj
16	,	PUNCT	17	punct
17	William	PROPN	8	conj
18	and	CCONJ	19	cc
19	Mary	PROPN	17	conj
20	,	PUNCT	21	punct
21	Vassar	PROPN	8	conj
22	,	PUNCT	23	punct
23	Howard	PROPN	8	conj
24	,	PUNCT	27	punct
25	and	CCONJ	27	cc
26	Carnegie	PROPN	27	compound
27	Mellon	PROPN	8	conj
28	,	PUNCT	8	punct
29	among	ADP	30	case
30	others	NOUN	8	nmod
31	.	PUNCT	6	punct