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:
Obviously the foreign offices have issues that may not apply in the US (although LA. is about as close as you can get to a third world country).
Postion	Tokenization
1	Obviously
2	the
3	foreign
4	offices
5	have
6	issues
7	that
8	may
9	not
10	apply
11	in
12	the
13	US
14	(
15	although
16	LA.
17	is
18	about
19	as
20	close
21	as
22	you
23	can
24	get
25	to
26	a
27	third
28	world
29	country
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Obviously	ADV	5	advmod
2	the	DET	4	det
3	foreign	ADJ	4	amod
4	offices	NOUN	5	nsubj
5	have	VERB	0	root
6	issues	NOUN	5	obj
7	that	PRON	10	nsubj
8	may	AUX	10	aux
9	not	PART	10	advmod
10	apply	VERB	6	acl:relcl
11	in	ADP	13	case
12	the	DET	13	det
13	US	PROPN	10	obl
14	(	PUNCT	20	punct
15	although	SCONJ	20	mark
16	LA.	PROPN	20	nsubj
17	is	AUX	20	cop
18	about	ADV	20	advmod
19	as	ADV	20	advmod
20	close	ADJ	5	advcl
21	as	SCONJ	24	mark
22	you	PRON	24	nsubj
23	can	AUX	24	aux
24	get	VERB	19	advcl
25	to	ADP	29	case
26	a	DET	29	det
27	third	ADJ	28	amod
28	world	NOUN	29	compound
29	country	NOUN	20	obl
30	)	PUNCT	20	punct
31	.	PUNCT	5	punct