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:
Sesenta largos años después: - Ya desde pequeño, empezaron a mirarle como a un sabio, pero todo el saber le venía de que, cuando tenía cinco años, había muerto su madre.
Postion	Tokenization
1	Sesenta
2	largos
3	años
4	después
5	:
6	-
7	Ya
8	desde
9	pequeño
10	,
11	empezaron
12	a
13	mirarle
14	mirar
15	le
16	como
17	a
18	un
19	sabio
20	,
21	pero
22	todo
23	el
24	saber
25	le
26	venía
27	de
28	que
29	,
30	cuando
31	tenía
32	cinco
33	años
34	,
35	había
36	muerto
37	su
38	madre
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Sesenta	NUM	3	nummod
2	largos	ADJ	3	amod
3	años	NOUN	11	obl
4	después	ADV	3	advmod
5	:	PUNCT	3	punct
6	-	PUNCT	11	punct
7	Ya	ADV	11	advmod
8	desde	ADP	7	case
9	pequeño	NOUN	7	nmod
10	,	PUNCT	7	punct
11	empezaron	VERB	0	root
12	a	ADP	13	mark
13	mirarle	_	None	_
14	mirar	VERB	11	xcomp
15	le	PRON	13	obj
16	como	SCONJ	18	mark
17	a	ADP	18	case
18	un	DET	18	det
19	sabio	NOUN	11	obl
20	,	PUNCT	25	punct
21	pero	CCONJ	25	cc
22	todo	DET	22	det
23	el	DET	23	det
24	saber	NOUN	25	nsubj
25	le	PRON	25	obj
26	venía	VERB	13	conj
27	de	ADP	35	mark
28	que	SCONJ	35	mark
29	,	PUNCT	30	punct
30	cuando	SCONJ	30	mark
31	tenía	VERB	35	advcl
32	cinco	NUM	32	nummod
33	años	NOUN	30	obj
34	,	PUNCT	30	punct
35	había	AUX	35	aux
36	muerto	VERB	25	advcl
37	su	DET	37	det
38	madre	NOUN	35	nsubj
39	.	PUNCT	11	punct