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:
La Federación Española de Fútbol le envió un telegrama de ánimo y el seleccionador español, José Antonio Camacho, llamó a la familia del jugador para interesarse por él.
Postion	Tokenization
1	La
2	Federación
3	Española
4	de
5	Fútbol
6	le
7	envió
8	un
9	telegrama
10	de
11	ánimo
12	y
13	el
14	seleccionador
15	español
16	,
17	José
18	Antonio
19	Camacho
20	,
21	llamó
22	a
23	la
24	familia
25	del
26	jugador
27	para
28	interesarse
29	interesar
30	se
31	por
32	él
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Federación	PROPN	7	nsubj
3	Española	PROPN	2	flat
4	de	ADP	5	case
5	Fútbol	PROPN	2	flat
6	le	PRON	7	obj
7	envió	VERB	0	root
8	un	DET	9	det
9	telegrama	NOUN	7	obj
10	de	ADP	11	case
11	ánimo	NOUN	9	nmod
12	y	CCONJ	21	cc
13	el	DET	14	det
14	seleccionador	NOUN	21	nsubj
15	español	ADJ	14	amod
16	,	PUNCT	17	punct
17	José	PROPN	14	appos
18	Antonio	PROPN	17	flat
19	Camacho	PROPN	17	flat
20	,	PUNCT	17	punct
21	llamó	VERB	7	conj
22	a	ADP	24	case
23	la	DET	24	det
24	familia	NOUN	21	obj
25	del	ADP	26	case
26	jugador	NOUN	24	nmod
27	para	ADP	28	mark
28	interesarse	_	None	_
29	interesar	VERB	21	advcl
30	se	PRON	28	expl:pv
31	por	ADP	31	case
32	él	PRON	28	obj
33	.	PUNCT	7	punct