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:
How they murdered him I do not know, save that it was Murillo's hand who struck him down, for Lopez had remained to guard me.
Postion	Tokenization
1	How
2	they
3	murdered
4	him
5	I
6	do
7	not
8	know
9	,
10	save
11	that
12	it
13	was
14	Murillo's
15	Murillo
16	's
17	hand
18	who
19	struck
20	him
21	down
22	,
23	for
24	Lopez
25	had
26	remained
27	to
28	guard
29	me
30	.
Position	Tokenization	UPOS	Head	Deprel
1	How	SCONJ	3	mark
2	they	PRON	3	nsubj
3	murdered	VERB	8	advcl
4	him	PRON	3	obj
5	I	PRON	8	nsubj
6	do	AUX	8	aux
7	not	PART	8	advmod
8	know	VERB	0	root
9	,	PUNCT	8	punct
10	save	SCONJ	16	mark
11	that	SCONJ	16	mark
12	it	PRON	16	nsubj
13	was	AUX	16	cop
14	Murillo's	_	None	_
15	Murillo	PROPN	16	nmod:poss
16	's	PART	14	case
17	hand	NOUN	8	advcl
18	who	PRON	18	nsubj
19	struck	VERB	16	acl:relcl
20	him	PRON	18	obj
21	down	ADP	18	compound:prt
22	,	PUNCT	25	punct
23	for	CCONJ	25	cc
24	Lopez	PROPN	25	nsubj
25	had	AUX	25	aux
26	remained	VERB	16	conj
27	to	PART	27	mark
28	guard	VERB	25	advcl
29	me	PRON	27	obj
30	.	PUNCT	8	punct