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:
The Hatfill theory -- to include ongoing interviews and ongoing 7/24 surveillance by 8 surveillance specialists -- is now the subject of pending civil rights and libel claims of uncertain merit.
Postion	Tokenization
1	The
2	Hatfill
3	theory
4	--
5	to
6	include
7	ongoing
8	interviews
9	and
10	ongoing
11	7
12	/
13	24
14	surveillance
15	by
16	8
17	surveillance
18	specialists
19	--
20	is
21	now
22	the
23	subject
24	of
25	pending
26	civil
27	rights
28	and
29	libel
30	claims
31	of
32	uncertain
33	merit
34	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	Hatfill	PROPN	23	nsubj
3	theory	NOUN	2	flat
4	--	PUNCT	2	punct
5	to	PART	6	mark
6	include	VERB	2	acl
7	ongoing	ADJ	8	amod
8	interviews	NOUN	6	obj
9	and	CCONJ	14	cc
10	ongoing	ADJ	14	amod
11	7	NUM	13	nummod
12	/	PUNCT	13	punct
13	24	NUM	14	compound
14	surveillance	NOUN	8	conj
15	by	ADP	18	case
16	8	NUM	18	nummod
17	surveillance	NOUN	18	compound
18	specialists	NOUN	14	nmod
19	--	PUNCT	23	punct
20	is	AUX	23	cop
21	now	ADV	23	advmod
22	the	DET	23	det
23	subject	NOUN	0	root
24	of	ADP	30	case
25	pending	ADJ	30	amod
26	civil	ADJ	27	amod
27	rights	NOUN	30	compound
28	and	CCONJ	29	cc
29	libel	NOUN	27	conj
30	claims	NOUN	23	nmod
31	of	ADP	33	case
32	uncertain	ADJ	33	amod
33	merit	NOUN	30	nmod
34	.	PUNCT	23	punct