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:
At the Barton hearing, a liberal democrat (Filner) and a conservative Republican (Hunter) locked arms in calling for refunds.
Postion	Tokenization
1	At
2	the
3	Barton
4	hearing
5	,
6	a
7	liberal
8	democrat
9	(
10	Filner
11	)
12	and
13	a
14	conservative
15	Republican
16	(
17	Hunter
18	)
19	locked
20	arms
21	in
22	calling
23	for
24	refunds
25	.
Position	Tokenization	UPOS	Head	Deprel
1	At	ADP	3	case
2	the	DET	3	det
3	Barton	PROPN	19	obl
4	hearing	NOUN	3	flat
5	,	PUNCT	19	punct
6	a	DET	8	det
7	liberal	ADJ	8	amod
8	democrat	PROPN	19	nsubj
9	(	PUNCT	8	punct
10	Filner	PROPN	8	appos
11	)	PUNCT	8	punct
12	and	CCONJ	15	cc
13	a	DET	15	det
14	conservative	ADJ	15	amod
15	Republican	PROPN	8	conj
16	(	PUNCT	15	punct
17	Hunter	PROPN	15	appos
18	)	PUNCT	15	punct
19	locked	VERB	0	root
20	arms	NOUN	19	obj
21	in	SCONJ	22	mark
22	calling	VERB	19	advcl
23	for	ADP	24	case
24	refunds	NOUN	22	obl
25	.	PUNCT	19	punct