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:
Mucho menos si la fórmula se lleva a cabo con el mismo punto de vista empleado por Tears for Fears o Pulp, por poner dos ejemplos.
Postion	Tokenization
1	Mucho
2	menos
3	si
4	la
5	fórmula
6	se
7	lleva
8	a
9	cabo
10	con
11	el
12	mismo
13	punto
14	de
15	vista
16	empleado
17	por
18	Tears
19	for
20	Fears
21	o
22	Pulp
23	,
24	por
25	poner
26	dos
27	ejemplos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Mucho	ADV	2	advmod
2	menos	ADV	7	advmod
3	si	SCONJ	7	mark
4	la	DET	5	det
5	fórmula	NOUN	7	nsubj
6	se	PRON	7	expl:pass
7	lleva	VERB	0	root
8	a	ADP	9	case
9	cabo	NOUN	7	compound
10	con	ADP	13	case
11	el	DET	13	det
12	mismo	DET	11	det
13	punto	NOUN	7	obl
14	de	ADP	15	case
15	vista	NOUN	13	nmod
16	empleado	ADJ	13	amod
17	por	ADP	18	case
18	Tears	PROPN	16	obj
19	for	PROPN	18	flat
20	Fears	PROPN	18	flat
21	o	CCONJ	22	cc
22	Pulp	PROPN	18	conj
23	,	PUNCT	25	punct
24	por	ADP	25	mark
25	poner	VERB	18	acl
26	dos	NUM	27	nummod
27	ejemplos	NOUN	25	obj
28	.	PUNCT	7	punct