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 text: Though I am loathe to quote other writers at legnth in this space, this little bit from Dan Froomkin's "White House Briefing" column in the WashPost today is just too good to pass up (read the whole column here ):
Position	Tokenization	UPOS	Head	Deprel
1	Though	SCONJ	4	mark
2	I	PRON	4	nsubj
3	am	AUX	4	cop
4	loathe	ADJ	35	advcl
5	to	PART	6	mark
6	quote	VERB	4	xcomp
7	other	ADJ	8	amod
8	writers	NOUN	6	obj
9	at	ADP	10	case
10	legnth	NOUN	6	obl
11	in	ADP	13	case
12	this	DET	13	det
13	space	NOUN	6	obl
14	,	PUNCT	35	punct
15	this	DET	17	det
16	little	ADJ	17	amod
17	bit	NOUN	35	nsubj
18	from	ADP	27	case
19	Dan	PROPN	27	nmod:poss
20	Froomkin's	_	None	_
21	Froomkin	PROPN	19	flat
22	's	PART	19	case
23	"	PUNCT	19	punct
24	White	PROPN	24	compound
25	House	PROPN	27	compound
26	Briefing	PROPN	27	compound
27	"	PUNCT	27	punct
28	column	NOUN	17	nmod
29	in	ADP	30	case
30	the	DET	30	det
31	WashPost	PROPN	27	nmod
32	today	NOUN	27	nmod:tmod
33	is	AUX	35	cop
34	just	ADV	35	advmod
35	too	ADV	35	advmod
36	good	ADJ	0	root
37	to	PART	37	mark
38	pass	VERB	35	advcl
39	up	ADP	37	compound:prt
40	(	PUNCT	40	punct
41	read	VERB	35	parataxis
42	the	DET	43	det
43	whole	ADJ	43	amod
44	column	NOUN	40	obj
45	here	ADV	43	advmod
46	)	PUNCT	40	punct
47	:	PUNCT	35	punct