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:
"Terry said he made that filing in the interest of Californians, but I find that argument has no basis in fact.''
Postion	Tokenization
1	"
2	Terry
3	said
4	he
5	made
6	that
7	filing
8	in
9	the
10	interest
11	of
12	Californians
13	,
14	but
15	I
16	find
17	that
18	argument
19	has
20	no
21	basis
22	in
23	fact
24	.
25	''
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Terry	PROPN	3	nsubj
3	said	VERB	0	root
4	he	PRON	5	nsubj
5	made	VERB	3	ccomp
6	that	DET	7	det
7	filing	NOUN	5	obj
8	in	ADP	10	case
9	the	DET	10	det
10	interest	NOUN	5	obl
11	of	ADP	12	case
12	Californians	PROPN	10	nmod
13	,	PUNCT	16	punct
14	but	CCONJ	16	cc
15	I	PRON	16	nsubj
16	find	VERB	3	conj
17	that	DET	18	det
18	argument	NOUN	19	nsubj
19	has	VERB	16	ccomp
20	no	DET	21	det
21	basis	NOUN	19	obj
22	in	ADP	23	case
23	fact	NOUN	21	nmod
24	.	PUNCT	3	punct
25	''	PUNCT	3	punct