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:
I doubt the very few who actually read my blog have not come across this yet, but I figured I would put it out there anyways.
Postion	Tokenization
1	I
2	doubt
3	the
4	very
5	few
6	who
7	actually
8	read
9	my
10	blog
11	have
12	not
13	come
14	across
15	this
16	yet
17	,
18	but
19	I
20	figured
21	I
22	would
23	put
24	it
25	out
26	there
27	anyways
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	doubt	VERB	0	root
3	the	DET	5	det
4	very	ADV	5	advmod
5	few	ADJ	13	nsubj
6	who	PRON	8	nsubj
7	actually	ADV	8	advmod
8	read	VERB	5	acl:relcl
9	my	PRON	10	nmod:poss
10	blog	NOUN	8	obj
11	have	AUX	13	aux
12	not	PART	13	advmod
13	come	VERB	2	ccomp
14	across	ADP	15	case
15	this	PRON	13	obl
16	yet	ADV	13	advmod
17	,	PUNCT	20	punct
18	but	CCONJ	20	cc
19	I	PRON	20	nsubj
20	figured	VERB	2	conj
21	I	PRON	23	nsubj
22	would	AUX	23	aux
23	put	VERB	20	ccomp
24	it	PRON	23	obj
25	out	ADV	26	advmod
26	there	ADV	23	advmod
27	anyways	ADV	23	advmod
28	.	PUNCT	2	punct