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:
Entonces he recurrido al "Gran larousse", que dice simplemente que Erskine fue profesor en la Universidad de Columbia (1903 - 1937) y que se hizo famoso por su cinismo fácil y divertido.
Postion	Tokenization
1	Entonces
2	he
3	recurrido
4	al
5	"
6	Gran
7	larousse
8	"
9	,
10	que
11	dice
12	simplemente
13	que
14	Erskine
15	fue
16	profesor
17	en
18	la
19	Universidad
20	de
21	Columbia
22	(
23	1903
24	-
25	1937
26	)
27	y
28	que
29	se
30	hizo
31	famoso
32	por
33	su
34	cinismo
35	fácil
36	y
37	divertido
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Entonces	ADV	3	advmod
2	he	AUX	3	aux
3	recurrido	VERB	0	root
4	al	ADP	6	case
5	"	PUNCT	6	punct
6	Gran	ADJ	3	obj
7	larousse	PROPN	6	flat
8	"	PUNCT	6	punct
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	dice	VERB	6	acl
12	simplemente	ADV	11	advmod
13	que	SCONJ	16	mark
14	Erskine	PROPN	16	nsubj
15	fue	AUX	16	cop
16	profesor	NOUN	11	ccomp
17	en	ADP	19	case
18	la	DET	19	det
19	Universidad	PROPN	16	obl
20	de	ADP	21	case
21	Columbia	PROPN	19	flat
22	(	PUNCT	23	punct
23	1903	NOUN	16	obj
24	-	PUNCT	23	punct
25	1937	NOUN	23	nmod
26	)	PUNCT	23	punct
27	y	CCONJ	30	cc
28	que	SCONJ	30	mark
29	se	PRON	30	expl:pv
30	hizo	VERB	16	conj
31	famoso	ADJ	30	obj
32	por	ADP	34	case
33	su	DET	34	det
34	cinismo	NOUN	30	obl
35	fácil	ADJ	34	amod
36	y	CCONJ	37	cc
37	divertido	ADJ	35	conj
38	.	PUNCT	3	punct