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:
In light of the CA regarding curves, I am slightly concerned with a blanket statement essentially giving Peoples unlimited access to information.
Postion	Tokenization
1	In
2	light
3	of
4	the
5	CA
6	regarding
7	curves
8	,
9	I
10	am
11	slightly
12	concerned
13	with
14	a
15	blanket
16	statement
17	essentially
18	giving
19	Peoples
20	unlimited
21	access
22	to
23	information
24	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	light	NOUN	12	obl
3	of	ADP	5	case
4	the	DET	5	det
5	CA	NOUN	2	nmod
6	regarding	VERB	7	case
7	curves	NOUN	5	nmod
8	,	PUNCT	12	punct
9	I	PRON	12	nsubj
10	am	AUX	12	cop
11	slightly	ADV	12	advmod
12	concerned	ADJ	0	root
13	with	ADP	16	case
14	a	DET	16	det
15	blanket	NOUN	16	compound
16	statement	NOUN	12	obl
17	essentially	ADV	18	advmod
18	giving	VERB	16	acl
19	Peoples	NOUN	18	iobj
20	unlimited	ADJ	21	amod
21	access	NOUN	18	obj
22	to	ADP	23	case
23	information	NOUN	21	nmod
24	.	PUNCT	12	punct