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:
Multar las octavillas derramadas sobre Madrid como botellas de papel con un dramático mensaje dentro, es meter la voz de los trabajadores en un horno crematorio.
Postion	Tokenization
1	Multar
2	las
3	octavillas
4	derramadas
5	sobre
6	Madrid
7	como
8	botellas
9	de
10	papel
11	con
12	un
13	dramático
14	mensaje
15	dentro
16	,
17	es
18	meter
19	la
20	voz
21	de
22	los
23	trabajadores
24	en
25	un
26	horno
27	crematorio
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Multar	VERB	17	csubj
2	las	DET	3	det
3	octavillas	NOUN	1	obj
4	derramadas	ADJ	3	amod
5	sobre	ADP	6	case
6	Madrid	PROPN	4	obl
7	como	SCONJ	8	mark
8	botellas	NOUN	4	obl
9	de	ADP	10	case
10	papel	NOUN	8	nmod
11	con	ADP	14	case
12	un	DET	14	det
13	dramático	ADJ	14	amod
14	mensaje	NOUN	8	nmod
15	dentro	ADV	14	advmod
16	,	PUNCT	1	punct
17	es	AUX	0	root
18	meter	VERB	17	ccomp
19	la	DET	20	det
20	voz	NOUN	18	obj
21	de	ADP	23	case
22	los	DET	23	det
23	trabajadores	NOUN	20	nmod
24	en	ADP	26	case
25	un	DET	26	det
26	horno	NOUN	18	obl
27	crematorio	ADJ	26	amod
28	.	PUNCT	17	punct