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:
Rinaldo Martino fue otro gran futbolista argentino de la década de los 40 al que en noviembre de este año le llegó la fecha de caducidad.
Postion	Tokenization
1	Rinaldo
2	Martino
3	fue
4	otro
5	gran
6	futbolista
7	argentino
8	de
9	la
10	década
11	de
12	los
13	40
14	al
15	que
16	en
17	noviembre
18	de
19	este
20	año
21	le
22	llegó
23	la
24	fecha
25	de
26	caducidad
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Rinaldo	PROPN	6	nsubj
2	Martino	PROPN	1	flat
3	fue	AUX	6	cop
4	otro	DET	6	det
5	gran	ADJ	6	amod
6	futbolista	NOUN	0	root
7	argentino	ADJ	6	amod
8	de	ADP	10	case
9	la	DET	10	det
10	década	NOUN	6	nmod
11	de	ADP	13	case
12	los	DET	13	det
13	40	NOUN	10	nmod
14	al	ADP	15	case
15	que	PRON	22	obj
16	en	ADP	17	case
17	noviembre	NOUN	22	obl
18	de	ADP	20	case
19	este	DET	20	det
20	año	NOUN	17	nmod
21	le	PRON	22	obj
22	llegó	VERB	6	acl
23	la	DET	24	det
24	fecha	NOUN	22	nsubj
25	de	ADP	26	case
26	caducidad	NOUN	24	nmod
27	.	PUNCT	6	punct