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:
Since moving back from college and trying to settle roots in the Village, I have referred to the La Jolla Blue Book for a ton of local numbers.
Postion	Tokenization
1	Since
2	moving
3	back
4	from
5	college
6	and
7	trying
8	to
9	settle
10	roots
11	in
12	the
13	Village
14	,
15	I
16	have
17	referred
18	to
19	the
20	La
21	Jolla
22	Blue
23	Book
24	for
25	a
26	ton
27	of
28	local
29	numbers
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Since	SCONJ	2	mark
2	moving	VERB	17	advcl
3	back	ADV	2	advmod
4	from	ADP	5	case
5	college	NOUN	2	obl
6	and	CCONJ	7	cc
7	trying	VERB	2	conj
8	to	PART	9	mark
9	settle	VERB	7	xcomp
10	roots	NOUN	9	obj
11	in	ADP	13	case
12	the	DET	13	det
13	Village	PROPN	10	nmod
14	,	PUNCT	17	punct
15	I	PRON	17	nsubj
16	have	AUX	17	aux
17	referred	VERB	0	root
18	to	ADP	23	case
19	the	DET	23	det
20	La	PROPN	23	compound
21	Jolla	PROPN	20	flat
22	Blue	PROPN	23	compound
23	Book	PROPN	17	obl
24	for	ADP	26	case
25	a	DET	26	det
26	ton	NOUN	17	obl
27	of	ADP	29	case
28	local	ADJ	29	amod
29	numbers	NOUN	26	nmod
30	.	PUNCT	17	punct