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:
Also, as I mentioned to you, we have faxed your mark-up to Melanie Gray at Weil Gotschal in Houston to keep her informed.
Postion	Tokenization
1	Also
2	,
3	as
4	I
5	mentioned
6	to
7	you
8	,
9	we
10	have
11	faxed
12	your
13	mark
14	-
15	up
16	to
17	Melanie
18	Gray
19	at
20	Weil
21	Gotschal
22	in
23	Houston
24	to
25	keep
26	her
27	informed
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	11	advmod
2	,	PUNCT	11	punct
3	as	SCONJ	5	mark
4	I	PRON	5	nsubj
5	mentioned	VERB	11	advcl
6	to	ADP	7	case
7	you	PRON	5	obl
8	,	PUNCT	11	punct
9	we	PRON	11	nsubj
10	have	AUX	11	aux
11	faxed	VERB	0	root
12	your	PRON	15	nmod:poss
13	mark	NOUN	15	compound
14	-	PUNCT	15	punct
15	up	NOUN	11	obj
16	to	ADP	17	case
17	Melanie	PROPN	11	obl
18	Gray	PROPN	17	flat
19	at	ADP	21	case
20	Weil	PROPN	21	compound
21	Gotschal	PROPN	17	nmod
22	in	ADP	23	case
23	Houston	PROPN	21	nmod
24	to	PART	25	mark
25	keep	VERB	11	advcl
26	her	PRON	25	obj
27	informed	ADJ	25	xcomp
28	.	PUNCT	11	punct