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:
Again, I think the problem is people who sink to far into their own egos, and begin to take their personal metaphors a bit too literaly.
Postion	Tokenization
1	Again
2	,
3	I
4	think
5	the
6	problem
7	is
8	people
9	who
10	sink
11	to
12	far
13	into
14	their
15	own
16	egos
17	,
18	and
19	begin
20	to
21	take
22	their
23	personal
24	metaphors
25	a
26	bit
27	too
28	literaly
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Again	ADV	4	advmod
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	think	VERB	0	root
5	the	DET	6	det
6	problem	NOUN	8	nsubj
7	is	AUX	8	cop
8	people	NOUN	4	ccomp
9	who	PRON	10	nsubj
10	sink	VERB	8	acl:relcl
11	to	ADV	12	advmod
12	far	ADV	10	advmod
13	into	ADP	16	case
14	their	PRON	16	nmod:poss
15	own	ADJ	16	amod
16	egos	NOUN	10	obl
17	,	PUNCT	19	punct
18	and	CCONJ	19	cc
19	begin	VERB	10	conj
20	to	PART	21	mark
21	take	VERB	19	xcomp
22	their	PRON	24	nmod:poss
23	personal	ADJ	24	amod
24	metaphors	NOUN	21	obj
25	a	DET	26	det
26	bit	NOUN	28	obl:npmod
27	too	ADV	28	advmod
28	literaly	ADV	21	advmod
29	.	PUNCT	4	punct