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:
Las ratas son como la mala conciencia de las sociedades desarrolladas, y su sucia proliferación será siempre un negro pero preciso reflejo de nuestro bienestar material.
Postion	Tokenization
1	Las
2	ratas
3	son
4	como
5	la
6	mala
7	conciencia
8	de
9	las
10	sociedades
11	desarrolladas
12	,
13	y
14	su
15	sucia
16	proliferación
17	será
18	siempre
19	un
20	negro
21	pero
22	preciso
23	reflejo
24	de
25	nuestro
26	bienestar
27	material
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	ratas	NOUN	7	nsubj
3	son	AUX	7	cop
4	como	SCONJ	7	mark
5	la	DET	7	det
6	mala	ADJ	7	amod
7	conciencia	NOUN	0	root
8	de	ADP	10	case
9	las	DET	10	det
10	sociedades	NOUN	7	nmod
11	desarrolladas	ADJ	10	amod
12	,	PUNCT	23	punct
13	y	CCONJ	23	cc
14	su	DET	16	det
15	sucia	ADJ	16	amod
16	proliferación	NOUN	23	nsubj
17	será	AUX	23	cop
18	siempre	ADV	23	advmod
19	un	DET	23	det
20	negro	ADJ	23	amod
21	pero	CCONJ	22	cc
22	preciso	ADJ	20	conj
23	reflejo	NOUN	7	conj
24	de	ADP	26	case
25	nuestro	DET	26	det
26	bienestar	NOUN	23	nmod
27	material	ADJ	26	amod
28	.	PUNCT	7	punct