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:
The code name for the project was called Oracle (the CIA saw this as the system to give answers to all questions or something such).
Postion	Tokenization
1	The
2	code
3	name
4	for
5	the
6	project
7	was
8	called
9	Oracle
10	(
11	the
12	CIA
13	saw
14	this
15	as
16	the
17	system
18	to
19	give
20	answers
21	to
22	all
23	questions
24	or
25	something
26	such
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	code	NOUN	3	compound
3	name	NOUN	8	nsubj:pass
4	for	ADP	6	case
5	the	DET	6	det
6	project	NOUN	3	nmod
7	was	AUX	8	aux:pass
8	called	VERB	0	root
9	Oracle	PROPN	8	xcomp
10	(	PUNCT	13	punct
11	the	DET	12	det
12	CIA	PROPN	13	nsubj
13	saw	VERB	8	parataxis
14	this	PRON	13	obj
15	as	ADP	17	case
16	the	DET	17	det
17	system	NOUN	13	obl
18	to	PART	19	mark
19	give	VERB	17	acl
20	answers	NOUN	19	obj
21	to	ADP	23	case
22	all	DET	23	det
23	questions	NOUN	20	nmod
24	or	CCONJ	25	cc
25	something	PRON	17	conj
26	such	ADJ	25	amod
27	)	PUNCT	13	punct
28	.	PUNCT	8	punct