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:
Terrell, a CIA asset originally recruited for the Contra effort, identifies the man attempting to recruit him into the Philippine scheme as Oliver North...
Postion	Tokenization
1	Terrell
2	,
3	a
4	CIA
5	asset
6	originally
7	recruited
8	for
9	the
10	Contra
11	effort
12	,
13	identifies
14	the
15	man
16	attempting
17	to
18	recruit
19	him
20	into
21	the
22	Philippine
23	scheme
24	as
25	Oliver
26	North
27	...
Position	Tokenization	UPOS	Head	Deprel
1	Terrell	PROPN	13	nsubj
2	,	PUNCT	1	punct
3	a	DET	5	det
4	CIA	PROPN	5	compound
5	asset	NOUN	1	appos
6	originally	ADV	7	advmod
7	recruited	VERB	5	acl
8	for	ADP	11	case
9	the	DET	11	det
10	Contra	PROPN	11	compound
11	effort	NOUN	7	obl
12	,	PUNCT	13	punct
13	identifies	VERB	0	root
14	the	DET	15	det
15	man	NOUN	13	obj
16	attempting	VERB	15	acl
17	to	PART	18	mark
18	recruit	VERB	16	xcomp
19	him	PRON	18	obj
20	into	ADP	23	case
21	the	DET	23	det
22	Philippine	ADJ	23	amod
23	scheme	NOUN	18	obl
24	as	ADP	25	case
25	Oliver	PROPN	13	obl
26	North	PROPN	25	flat
27	...	PUNCT	13	punct