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:
Jose Andrés Blanco, un discapacitado físico de 42 años, ha sido subcampeón paralímpico en persecución de un kilómetro individual.
Postion	Tokenization
1	Jose
2	Andrés
3	Blanco
4	,
5	un
6	discapacitado
7	físico
8	de
9	42
10	años
11	,
12	ha
13	sido
14	subcampeón
15	paralímpico
16	en
17	persecución
18	de
19	un
20	kilómetro
21	individual
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Jose	PROPN	14	nsubj
2	Andrés	PROPN	1	flat
3	Blanco	PROPN	1	flat
4	,	PUNCT	6	punct
5	un	DET	6	det
6	discapacitado	NOUN	1	appos
7	físico	ADJ	6	amod
8	de	ADP	10	case
9	42	NUM	10	nummod
10	años	NOUN	6	nmod
11	,	PUNCT	6	punct
12	ha	AUX	14	aux
13	sido	AUX	14	cop
14	subcampeón	ADJ	0	root
15	paralímpico	ADJ	14	amod
16	en	ADP	17	case
17	persecución	NOUN	14	obl
18	de	ADP	20	case
19	un	DET	20	det
20	kilómetro	NOUN	17	nmod
21	individual	ADJ	20	amod
22	.	PUNCT	14	punct