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 a qualified criminal defense attorney, he will work every possible legal "angle" (leaving no stone unturned) of your case to achieve the most favorable result possible.
Postion	Tokenization
1	As
2	a
3	qualified
4	criminal
5	defense
6	attorney
7	,
8	he
9	will
10	work
11	every
12	possible
13	legal
14	"
15	angle
16	"
17	(
18	leaving
19	no
20	stone
21	unturned
22	)
23	of
24	your
25	case
26	to
27	achieve
28	the
29	most
30	favorable
31	result
32	possible
33	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	6	case
2	a	DET	6	det
3	qualified	ADJ	6	amod
4	criminal	ADJ	5	amod
5	defense	NOUN	6	compound
6	attorney	NOUN	10	obl
7	,	PUNCT	10	punct
8	he	PRON	10	nsubj
9	will	AUX	10	aux
10	work	VERB	0	root
11	every	DET	15	det
12	possible	ADJ	15	amod
13	legal	ADJ	15	amod
14	"	PUNCT	15	punct
15	angle	NOUN	10	obj
16	"	PUNCT	15	punct
17	(	PUNCT	18	punct
18	leaving	VERB	10	advcl
19	no	DET	20	det
20	stone	NOUN	18	obj
21	unturned	ADJ	18	xcomp
22	)	PUNCT	18	punct
23	of	ADP	25	case
24	your	PRON	25	nmod:poss
25	case	NOUN	15	nmod
26	to	PART	27	mark
27	achieve	VERB	10	advcl
28	the	DET	31	det
29	most	ADV	30	advmod
30	favorable	ADJ	31	amod
31	result	NOUN	27	obj
32	possible	ADJ	31	amod
33	.	PUNCT	10	punct