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:
Luego vienen a meter cizaña el sentido común, la debilidad sentimental, la resignación, los escrúpulos y el miedo a las enfermedades y acaba uno conformándose con cualquier cosa.
Postion	Tokenization
1	Luego
2	vienen
3	a
4	meter
5	cizaña
6	el
7	sentido
8	común
9	,
10	la
11	debilidad
12	sentimental
13	,
14	la
15	resignación
16	,
17	los
18	escrúpulos
19	y
20	el
21	miedo
22	a
23	las
24	enfermedades
25	y
26	acaba
27	uno
28	conformándose
29	conformando
30	se
31	con
32	cualquier
33	cosa
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Luego	ADV	2	advmod
2	vienen	VERB	0	root
3	a	ADP	4	mark
4	meter	VERB	2	advcl
5	cizaña	NOUN	4	obj
6	el	DET	7	det
7	sentido	NOUN	2	nsubj
8	común	ADJ	7	amod
9	,	PUNCT	11	punct
10	la	DET	11	det
11	debilidad	NOUN	7	appos
12	sentimental	ADJ	11	amod
13	,	PUNCT	15	punct
14	la	DET	15	det
15	resignación	NOUN	7	appos
16	,	PUNCT	18	punct
17	los	DET	18	det
18	escrúpulos	NOUN	7	appos
19	y	CCONJ	21	cc
20	el	DET	21	det
21	miedo	NOUN	7	conj
22	a	ADP	24	case
23	las	DET	24	det
24	enfermedades	NOUN	21	nmod
25	y	CCONJ	26	cc
26	acaba	VERB	2	conj
27	uno	PRON	26	nsubj
28	conformándose	_	None	_
29	conformando	VERB	26	xcomp
30	se	PRON	28	expl:pv
31	con	ADP	32	case
32	cualquier	DET	32	det
33	cosa	NOUN	28	obj
34	.	PUNCT	2	punct