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:
Imperial Hubris makes the case that lots of people in the CIA and counter-terrorism divisions elsewhere in the US government knew all about Bin Laden and the threat he posed.
Postion	Tokenization
1	Imperial
2	Hubris
3	makes
4	the
5	case
6	that
7	lots
8	of
9	people
10	in
11	the
12	CIA
13	and
14	counter-terrorism
15	divisions
16	elsewhere
17	in
18	the
19	US
20	government
21	knew
22	all
23	about
24	Bin
25	Laden
26	and
27	the
28	threat
29	he
30	posed
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Imperial	ADJ	2	amod
2	Hubris	NOUN	3	nsubj
3	makes	VERB	0	root
4	the	DET	5	det
5	case	NOUN	3	obj
6	that	SCONJ	21	mark
7	lots	NOUN	21	nsubj
8	of	ADP	9	case
9	people	NOUN	7	nmod
10	in	ADP	12	case
11	the	DET	12	det
12	CIA	PROPN	9	nmod
13	and	CCONJ	15	cc
14	counter-terrorism	ADJ	15	amod
15	divisions	NOUN	12	conj
16	elsewhere	ADV	15	advmod
17	in	ADP	20	case
18	the	DET	20	det
19	US	PROPN	20	compound
20	government	NOUN	15	nmod
21	knew	VERB	5	acl
22	all	ADV	24	advmod
23	about	ADP	24	case
24	Bin	PROPN	21	obl
25	Laden	PROPN	24	flat
26	and	CCONJ	28	cc
27	the	DET	28	det
28	threat	NOUN	24	conj
29	he	PRON	30	nsubj
30	posed	VERB	28	acl:relcl
31	.	PUNCT	3	punct