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 intensidad de esos momentos caló de tal forma que cinco años presentando desde Londres el programa matutino de noticias económicas Europe Today no le ha apagado la llama del corazón.
Postion	Tokenization
1	La
2	intensidad
3	de
4	esos
5	momentos
6	caló
7	de
8	tal
9	forma
10	que
11	cinco
12	años
13	presentando
14	desde
15	Londres
16	el
17	programa
18	matutino
19	de
20	noticias
21	económicas
22	Europe
23	Today
24	no
25	le
26	ha
27	apagado
28	la
29	llama
30	del
31	corazón
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	intensidad	NOUN	6	nsubj
3	de	ADP	5	case
4	esos	DET	5	det
5	momentos	NOUN	2	nmod
6	caló	VERB	0	root
7	de	ADP	9	case
8	tal	DET	9	det
9	forma	NOUN	6	obl
10	que	SCONJ	27	mark
11	cinco	NUM	12	nummod
12	años	NOUN	27	nsubj
13	presentando	VERB	12	acl
14	desde	ADP	15	case
15	Londres	PROPN	13	obl
16	el	DET	17	det
17	programa	NOUN	13	obj
18	matutino	ADJ	17	amod
19	de	ADP	20	case
20	noticias	NOUN	17	nmod
21	económicas	ADJ	20	amod
22	Europe	PROPN	17	appos
23	Today	PROPN	22	flat
24	no	ADV	27	advmod
25	le	PRON	27	obj
26	ha	AUX	27	aux
27	apagado	VERB	9	acl
28	la	PRON	29	nmod
29	llama	NOUN	27	obj
30	del	ADP	31	case
31	corazón	NOUN	29	nmod
32	.	PUNCT	6	punct