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:
"Ese punto ha sido muy importante, pero ha habido muchos puntos muy importantes", recordó el ilerdense.
Postion	Tokenization
1	"
2	Ese
3	punto
4	ha
5	sido
6	muy
7	importante
8	,
9	pero
10	ha
11	habido
12	muchos
13	puntos
14	muy
15	importantes
16	"
17	,
18	recordó
19	el
20	ilerdense
21	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Ese	DET	3	det
3	punto	NOUN	7	nsubj
4	ha	AUX	7	aux
5	sido	AUX	7	cop
6	muy	ADV	7	advmod
7	importante	ADJ	18	ccomp
8	,	PUNCT	7	punct
9	pero	CCONJ	11	cc
10	ha	AUX	7	aux
11	habido	AUX	7	conj
12	muchos	DET	13	det
13	puntos	NOUN	11	obj
14	muy	ADV	15	advmod
15	importantes	ADJ	13	amod
16	"	PUNCT	7	punct
17	,	PUNCT	7	punct
18	recordó	VERB	0	root
19	el	DET	20	det
20	ilerdense	NOUN	18	nsubj
21	.	PUNCT	18	punct