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:
At some point in the not so distant future, the Houson and London credit departments need to speak in order that each understands the "philosophy" behind credit analysis for the omnibus and master transactions.
Postion	Tokenization
1	At
2	some
3	point
4	in
5	the
6	not
7	so
8	distant
9	future
10	,
11	the
12	Houson
13	and
14	London
15	credit
16	departments
17	need
18	to
19	speak
20	in
21	order
22	that
23	each
24	understands
25	the
26	"
27	philosophy
28	"
29	behind
30	credit
31	analysis
32	for
33	the
34	omnibus
35	and
36	master
37	transactions
38	.
Position	Tokenization	UPOS	Head	Deprel
1	At	ADP	3	case
2	some	DET	3	det
3	point	NOUN	17	obl
4	in	ADP	9	case
5	the	DET	9	det
6	not	ADV	7	advmod
7	so	ADV	8	advmod
8	distant	ADJ	9	amod
9	future	NOUN	3	nmod
10	,	PUNCT	17	punct
11	the	DET	16	det
12	Houson	PROPN	16	compound
13	and	CCONJ	14	cc
14	London	PROPN	12	conj
15	credit	NOUN	16	compound
16	departments	NOUN	17	nsubj
17	need	VERB	0	root
18	to	PART	19	mark
19	speak	VERB	17	xcomp
20	in	ADP	24	mark
21	order	NOUN	20	fixed
22	that	SCONJ	24	mark
23	each	DET	24	nsubj
24	understands	VERB	17	advcl
25	the	DET	27	det
26	"	PUNCT	27	punct
27	philosophy	NOUN	24	obj
28	"	PUNCT	27	punct
29	behind	ADP	31	case
30	credit	NOUN	31	compound
31	analysis	NOUN	27	nmod
32	for	ADP	37	case
33	the	DET	37	det
34	omnibus	NOUN	37	compound
35	and	CCONJ	36	cc
36	master	NOUN	34	conj
37	transactions	NOUN	31	nmod
38	.	PUNCT	17	punct