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:
Finally, from an email, a follow-up on the reopening of the investigation into the Atlanta Child Murders :
Postion	Tokenization
1	Finally
2	,
3	from
4	an
5	email
6	,
7	a
8	follow
9	-
10	up
11	on
12	the
13	reopening
14	of
15	the
16	investigation
17	into
18	the
19	Atlanta
20	Child
21	Murders
22	:
Position	Tokenization	UPOS	Head	Deprel
1	Finally	ADV	10	advmod
2	,	PUNCT	10	punct
3	from	ADP	5	case
4	an	DET	5	det
5	email	NOUN	10	nmod
6	,	PUNCT	10	punct
7	a	DET	10	det
8	follow	NOUN	10	compound
9	-	PUNCT	10	punct
10	up	NOUN	0	root
11	on	ADP	13	case
12	the	DET	13	det
13	reopening	NOUN	10	nmod
14	of	ADP	16	case
15	the	DET	16	det
16	investigation	NOUN	13	nmod
17	into	ADP	21	case
18	the	DET	21	det
19	Atlanta	PROPN	21	compound
20	Child	NOUN	21	compound
21	Murders	NOUN	16	nmod
22	:	PUNCT	10	punct