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:
I just need to talk to an another american who has gone to the UK before so that I know what expect when arriving at the airport and with going through visa process and everything.
Postion	Tokenization
1	I
2	just
3	need
4	to
5	talk
6	to
7	an
8	another
9	american
10	who
11	has
12	gone
13	to
14	the
15	UK
16	before
17	so
18	that
19	I
20	know
21	what
22	expect
23	when
24	arriving
25	at
26	the
27	airport
28	and
29	with
30	going
31	through
32	visa
33	process
34	and
35	everything
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	need	VERB	0	root
4	to	PART	5	mark
5	talk	VERB	3	xcomp
6	to	ADP	9	case
7	an	DET	9	reparandum
8	another	DET	9	det
9	american	ADJ	5	obl
10	who	PRON	12	nsubj
11	has	AUX	12	aux
12	gone	VERB	9	acl:relcl
13	to	ADP	15	case
14	the	DET	15	det
15	UK	PROPN	12	obl
16	before	ADV	12	advmod
17	so	SCONJ	20	mark
18	that	SCONJ	17	fixed
19	I	PRON	20	nsubj
20	know	VERB	5	advcl
21	what	PRON	22	nsubj
22	expect	VERB	20	ccomp
23	when	SCONJ	24	mark
24	arriving	VERB	22	advcl
25	at	ADP	27	case
26	the	DET	27	det
27	airport	NOUN	24	obl
28	and	CCONJ	30	cc
29	with	SCONJ	30	mark
30	going	VERB	24	conj
31	through	ADP	33	case
32	visa	NOUN	33	compound
33	process	NOUN	30	obl
34	and	CCONJ	35	cc
35	everything	PRON	24	conj
36	.	PUNCT	3	punct