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:
For those who care, a good proportion of the my class went on to 4-year colleges, many of them ranked in the top 50 of US News.
Postion	Tokenization
1	For
2	those
3	who
4	care
5	,
6	a
7	good
8	proportion
9	of
10	the
11	my
12	class
13	went
14	on
15	to
16	4
17	-
18	year
19	colleges
20	,
21	many
22	of
23	them
24	ranked
25	in
26	the
27	top
28	50
29	of
30	US
31	News
32	.
Position	Tokenization	UPOS	Head	Deprel
1	For	ADP	2	case
2	those	PRON	13	obl
3	who	PRON	4	nsubj
4	care	VERB	2	acl:relcl
5	,	PUNCT	13	punct
6	a	DET	8	det
7	good	ADJ	8	amod
8	proportion	NOUN	13	nsubj
9	of	ADP	12	case
10	the	DET	12	reparandum
11	my	PRON	12	nmod:poss
12	class	NOUN	8	nmod
13	went	VERB	0	root
14	on	ADV	13	advmod
15	to	ADP	19	case
16	4	NUM	18	nummod
17	-	PUNCT	18	punct
18	year	NOUN	19	compound
19	colleges	NOUN	13	obl
20	,	PUNCT	19	punct
21	many	ADJ	19	appos
22	of	ADP	23	case
23	them	PRON	21	nmod
24	ranked	VERB	21	acl
25	in	ADP	28	case
26	the	DET	28	det
27	top	ADJ	28	amod
28	50	NUM	24	obl
29	of	ADP	31	case
30	US	PROPN	31	compound
31	News	PROPN	28	nmod
32	.	PUNCT	13	punct