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:
Justin, I have no knowledge of any bad faith actins Enron has pending inTexas but I will call Richard Sanders who manages domestic litgation here.
Postion	Tokenization
1	Justin
2	,
3	I
4	have
5	no
6	knowledge
7	of
8	any
9	bad
10	faith
11	actins
12	Enron
13	has
14	pending
15	in
16	Texas
17	but
18	I
19	will
20	call
21	Richard
22	Sanders
23	who
24	manages
25	domestic
26	litgation
27	here
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Justin	PROPN	4	vocative
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	have	VERB	0	root
5	no	DET	6	det
6	knowledge	NOUN	4	obj
7	of	ADP	11	case
8	any	DET	11	det
9	bad	ADJ	11	amod
10	faith	NOUN	11	compound
11	actins	NOUN	6	nmod
12	Enron	PROPN	13	nsubj
13	has	VERB	11	acl:relcl
14	pending	VERB	11	acl
15	in	ADP	16	case
16	Texas	PROPN	13	obl
17	but	CCONJ	20	cc
18	I	PRON	20	nsubj
19	will	AUX	20	aux
20	call	VERB	4	conj
21	Richard	PROPN	20	obj
22	Sanders	PROPN	21	flat
23	who	PRON	24	nsubj
24	manages	VERB	21	acl:relcl
25	domestic	ADJ	26	amod
26	litgation	NOUN	24	obj
27	here	ADV	26	advmod
28	.	PUNCT	4	punct