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:
Erskine fue profesor de prestigio, por eso un día Will D. Howe le invitó a colaborar en un libro de filología.
Postion	Tokenization
1	Erskine
2	fue
3	profesor
4	de
5	prestigio
6	,
7	por
8	eso
9	un
10	día
11	Will
12	D.
13	Howe
14	le
15	invitó
16	a
17	colaborar
18	en
19	un
20	libro
21	de
22	filología
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Erskine	PROPN	3	nsubj
2	fue	AUX	3	cop
3	profesor	NOUN	0	root
4	de	ADP	5	case
5	prestigio	NOUN	3	nmod
6	,	PUNCT	3	punct
7	por	ADP	8	case
8	eso	PRON	15	obl
9	un	DET	10	det
10	día	NOUN	15	obl
11	Will	PROPN	15	nsubj
12	D.	PROPN	11	flat
13	Howe	PROPN	11	flat
14	le	PRON	15	iobj
15	invitó	VERB	3	advcl
16	a	ADP	17	mark
17	colaborar	VERB	15	xcomp
18	en	ADP	20	case
19	un	DET	20	det
20	libro	NOUN	17	obl
21	de	ADP	22	case
22	filología	NOUN	20	nmod
23	.	PUNCT	3	punct