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:
Investigators said the nun, Margaret Ann Pahl, 71, was strangled and then stabbed, with nine wounds on her chest forming the shape of an inverted cross, a well-recognized Satanic symbol.
Postion	Tokenization
1	Investigators
2	said
3	the
4	nun
5	,
6	Margaret
7	Ann
8	Pahl
9	,
10	71
11	,
12	was
13	strangled
14	and
15	then
16	stabbed
17	,
18	with
19	nine
20	wounds
21	on
22	her
23	chest
24	forming
25	the
26	shape
27	of
28	an
29	inverted
30	cross
31	,
32	a
33	well
34	-
35	recognized
36	Satanic
37	symbol
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Investigators	NOUN	2	nsubj
2	said	VERB	0	root
3	the	DET	4	det
4	nun	NOUN	13	nsubj:pass
5	,	PUNCT	4	punct
6	Margaret	PROPN	4	appos
7	Ann	PROPN	6	flat
8	Pahl	PROPN	6	flat
9	,	PUNCT	6	punct
10	71	NUM	6	amod
11	,	PUNCT	6	punct
12	was	AUX	13	aux:pass
13	strangled	VERB	2	ccomp
14	and	CCONJ	16	cc
15	then	ADV	16	advmod
16	stabbed	VERB	13	conj
17	,	PUNCT	16	punct
18	with	SCONJ	24	mark
19	nine	NUM	20	nummod
20	wounds	NOUN	24	nsubj
21	on	ADP	23	case
22	her	PRON	23	nmod:poss
23	chest	NOUN	20	nmod
24	forming	VERB	16	advcl
25	the	DET	26	det
26	shape	NOUN	24	obj
27	of	ADP	30	case
28	an	DET	30	det
29	inverted	VERB	30	amod
30	cross	NOUN	26	nmod
31	,	PUNCT	30	punct
32	a	DET	37	det
33	well	ADV	35	advmod
34	-	PUNCT	35	punct
35	recognized	VERB	37	amod
36	Satanic	ADJ	37	amod
37	symbol	NOUN	30	appos
38	.	PUNCT	2	punct