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:
We are looking at putting the metering facilities on their ROW (also, I think we will have to purchase about 50ft of ROW from ElPaso to get to Questar's property).
Postion	Tokenization
1	We
2	are
3	looking
4	at
5	putting
6	the
7	metering
8	facilities
9	on
10	their
11	ROW
12	(
13	also
14	,
15	I
16	think
17	we
18	will
19	have
20	to
21	purchase
22	about
23	50
24	ft
25	of
26	ROW
27	from
28	ElPaso
29	to
30	get
31	to
32	Questar's
33	Questar
34	's
35	property
36	)
37	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	are	AUX	3	aux
3	looking	VERB	0	root
4	at	SCONJ	5	mark
5	putting	VERB	3	advcl
6	the	DET	8	det
7	metering	NOUN	8	compound
8	facilities	NOUN	5	obj
9	on	ADP	11	case
10	their	PRON	11	nmod:poss
11	ROW	NOUN	5	obl
12	(	PUNCT	16	punct
13	also	ADV	16	advmod
14	,	PUNCT	16	punct
15	I	PRON	16	nsubj
16	think	VERB	3	parataxis
17	we	PRON	19	nsubj
18	will	AUX	19	aux
19	have	VERB	16	ccomp
20	to	PART	21	mark
21	purchase	VERB	19	xcomp
22	about	ADV	23	advmod
23	50	NUM	24	nummod
24	ft	NOUN	21	obj
25	of	ADP	26	case
26	ROW	NOUN	24	nmod
27	from	ADP	28	case
28	ElPaso	PROPN	21	obl
29	to	PART	30	mark
30	get	VERB	21	advcl
31	to	ADP	34	case
32	Questar's	_	None	_
33	Questar	PROPN	34	nmod:poss
34	's	PART	32	case
35	property	NOUN	30	obl
36	)	PUNCT	16	punct
37	.	PUNCT	3	punct