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:
Un monstruo cuya morada no es otra que nuestro propio subconsciente: a lo mejor es por eso por lo que las cloacas de las ciudades se nos aparecen como una adecuada representación del subconsciente colectivo, tan sucio él y tan oscuro...
Postion	Tokenization
1	Un
2	monstruo
3	cuya
4	morada
5	no
6	es
7	otra
8	que
9	nuestro
10	propio
11	subconsciente
12	:
13	a
14	lo
15	mejor
16	es
17	por
18	eso
19	por
20	lo
21	que
22	las
23	cloacas
24	de
25	las
26	ciudades
27	se
28	nos
29	aparecen
30	como
31	una
32	adecuada
33	representación
34	del
35	subconsciente
36	colectivo
37	,
38	tan
39	sucio
40	él
41	y
42	tan
43	oscuro
44	...
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	monstruo	NOUN	0	root
3	cuya	PRON	4	nmod
4	morada	NOUN	11	nsubj
5	no	ADV	11	advmod
6	es	AUX	11	cop
7	otra	NOUN	11	advmod
8	que	SCONJ	7	fixed
9	nuestro	DET	11	det
10	propio	ADJ	11	amod
11	subconsciente	NOUN	2	acl
12	:	PUNCT	16	punct
13	a	ADP	16	advmod
14	lo	PRON	13	fixed
15	mejor	NOUN	13	fixed
16	es	AUX	2	acl
17	por	ADP	18	case
18	eso	PRON	16	obl
19	por	ADP	20	case
20	lo	PRON	16	obl
21	que	SCONJ	29	mark
22	las	DET	23	det
23	cloacas	NOUN	29	nsubj
24	de	ADP	26	case
25	las	DET	26	det
26	ciudades	NOUN	23	nmod
27	se	PRON	29	expl:impers
28	nos	PRON	29	iobj
29	aparecen	VERB	20	acl
30	como	ADP	33	case
31	una	DET	33	det
32	adecuada	ADJ	33	amod
33	representación	NOUN	29	obl
34	del	ADP	35	case
35	subconsciente	NOUN	33	nmod
36	colectivo	ADJ	35	amod
37	,	PUNCT	39	punct
38	tan	ADV	39	advmod
39	sucio	ADJ	35	amod
40	él	PRON	39	obj
41	y	CCONJ	43	cc
42	tan	ADV	43	advmod
43	oscuro	ADJ	39	conj
44	...	PUNCT	2	punct