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:
As you look at this, if for some reason we cannot obtain ElPaso ROW, we will have to look at Plan B which would be to put the metering on our ROW.
Postion	Tokenization
1	As
2	you
3	look
4	at
5	this
6	,
7	if
8	for
9	some
10	reason
11	we
12	cannot
13	can
14	not
15	obtain
16	ElPaso
17	ROW
18	,
19	we
20	will
21	have
22	to
23	look
24	at
25	Plan
26	B
27	which
28	would
29	be
30	to
31	put
32	the
33	metering
34	on
35	our
36	ROW
37	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	you	PRON	3	nsubj
3	look	VERB	20	advcl
4	at	ADP	5	case
5	this	PRON	3	obl
6	,	PUNCT	20	punct
7	if	SCONJ	14	mark
8	for	ADP	10	case
9	some	DET	10	det
10	reason	NOUN	14	obl
11	we	PRON	14	nsubj
12	cannot	_	None	_
13	can	AUX	14	aux
14	not	PART	14	advmod
15	obtain	VERB	20	advcl
16	ElPaso	PROPN	16	compound
17	ROW	NOUN	14	obj
18	,	PUNCT	20	punct
19	we	PRON	20	nsubj
20	will	AUX	20	aux
21	have	VERB	0	root
22	to	PART	22	mark
23	look	VERB	20	xcomp
24	at	ADP	25	case
25	Plan	NOUN	25	compound
26	B	NOUN	22	obl
27	which	PRON	28	nsubj
28	would	AUX	28	aux
29	be	VERB	25	acl:relcl
30	to	PART	30	mark
31	put	VERB	28	ccomp
32	the	DET	32	det
33	metering	NOUN	30	obj
34	on	ADP	35	case
35	our	PRON	35	nmod:poss
36	ROW	NOUN	30	obl
37	.	PUNCT	20	punct