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:
- Qué necesidad había de ponerlo, al dorso de cada sobre, si el papel era tan recycled ecological antes como ahora?
Postion	Tokenization
1	-
2	Qué
3	necesidad
4	había
5	de
6	ponerlo
7	poner
8	lo
9	,
10	al
11	dorso
12	de
13	cada
14	sobre
15	,
16	si
17	el
18	papel
19	era
20	tan
21	recycled
22	ecological
23	antes
24	como
25	ahora
26	?
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	4	punct
2	Qué	DET	3	det
3	necesidad	NOUN	4	iobj
4	había	AUX	0	root
5	de	ADP	6	mark
6	ponerlo	_	None	_
7	poner	VERB	4	xcomp
8	lo	PRON	6	obj
9	,	PUNCT	10	punct
10	al	ADP	10	case
11	dorso	NOUN	6	obl
12	de	ADP	13	case
13	cada	DET	13	det
14	sobre	NOUN	10	nmod
15	,	PUNCT	10	punct
16	si	SCONJ	20	mark
17	el	DET	17	det
18	papel	NOUN	20	nsubj
19	era	AUX	20	cop
20	tan	ADV	20	advmod
21	recycled	ADJ	4	advcl
22	ecological	ADJ	20	amod
23	antes	ADV	20	advmod
24	como	SCONJ	24	mark
25	ahora	ADV	20	advmod
26	?	PUNCT	4	punct