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:
Pero la obra nueva ha de mirar más al futuro que al pasado, más al bien común que al beneficio privado.
Postion	Tokenization
1	Pero
2	la
3	obra
4	nueva
5	ha
6	de
7	mirar
8	más
9	al
10	futuro
11	que
12	al
13	pasado
14	,
15	más
16	al
17	bien
18	común
19	que
20	al
21	beneficio
22	privado
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	7	advmod
2	la	DET	3	det
3	obra	NOUN	7	nsubj
4	nueva	ADJ	3	amod
5	ha	AUX	7	aux
6	de	ADP	7	mark
7	mirar	VERB	0	root
8	más	ADV	7	advmod
9	al	ADP	8	case
10	futuro	NOUN	8	nmod
11	que	SCONJ	13	mark
12	al	ADP	13	case
13	pasado	NOUN	8	obl
14	,	PUNCT	15	punct
15	más	ADV	8	conj
16	al	ADP	15	case
17	bien	NOUN	15	nmod
18	común	ADJ	17	amod
19	que	SCONJ	21	mark
20	al	ADP	21	case
21	beneficio	NOUN	15	obl
22	privado	ADJ	21	amod
23	.	PUNCT	7	punct