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:
Por si, a pesar del hábil grafismo, alguien no lo hubiese entendido, una leyenda escrita lo explica en palabras: Recycled ecological paper.
Postion	Tokenization
1	Por
2	si
3	,
4	a
5	pesar
6	del
7	hábil
8	grafismo
9	,
10	alguien
11	no
12	lo
13	hubiese
14	entendido
15	,
16	una
17	leyenda
18	escrita
19	lo
20	explica
21	en
22	palabras
23	:
24	Recycled
25	ecological
26	paper
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	14	mark
2	si	SCONJ	14	mark
3	,	PUNCT	8	punct
4	a	ADP	8	case
5	pesar	NOUN	4	fixed
6	del	ADP	4	fixed
7	hábil	ADJ	8	amod
8	grafismo	NOUN	14	obl
9	,	PUNCT	8	punct
10	alguien	PRON	14	nsubj
11	no	ADV	14	advmod
12	lo	PRON	14	obj
13	hubiese	AUX	14	aux
14	entendido	VERB	20	advcl
15	,	PUNCT	14	punct
16	una	DET	17	det
17	leyenda	NOUN	20	nsubj
18	escrita	ADJ	17	amod
19	lo	PRON	20	obj
20	explica	VERB	0	root
21	en	ADP	22	case
22	palabras	NOUN	20	obl
23	:	PUNCT	24	punct
24	Recycled	PROPN	20	iobj
25	ecological	PROPN	24	flat
26	paper	PROPN	24	flat
27	.	PUNCT	20	punct