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:
"Es un horrible accidente que ha conmovido a todo el país", declaró el primer ministro, Tony Blair, quien al igual que la reina Isabel II envió sus condolencias a los familiares de las víctimas.
Postion	Tokenization
1	"
2	Es
3	un
4	horrible
5	accidente
6	que
7	ha
8	conmovido
9	a
10	todo
11	el
12	país
13	"
14	,
15	declaró
16	el
17	primer
18	ministro
19	,
20	Tony
21	Blair
22	,
23	quien
24	al
25	igual
26	que
27	la
28	reina
29	Isabel
30	II
31	envió
32	sus
33	condolencias
34	a
35	los
36	familiares
37	de
38	las
39	víctimas
40	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Es	AUX	5	cop
3	un	DET	5	det
4	horrible	ADJ	5	amod
5	accidente	NOUN	15	ccomp
6	que	PRON	8	nsubj
7	ha	AUX	8	aux
8	conmovido	VERB	5	acl
9	a	ADP	12	case
10	todo	DET	11	det
11	el	DET	12	det
12	país	NOUN	8	obj
13	"	PUNCT	5	punct
14	,	PUNCT	5	punct
15	declaró	VERB	0	root
16	el	DET	18	det
17	primer	ADJ	18	amod
18	ministro	NOUN	15	nsubj
19	,	PUNCT	20	punct
20	Tony	PROPN	18	appos
21	Blair	PROPN	20	flat
22	,	PUNCT	20	punct
23	quien	PRON	31	nsubj
24	al	ADP	28	mark
25	igual	ADJ	24	fixed
26	que	SCONJ	24	fixed
27	la	DET	28	det
28	reina	NOUN	31	obl
29	Isabel	PROPN	28	appos
30	II	PROPN	29	flat
31	envió	VERB	18	acl
32	sus	DET	33	det
33	condolencias	NOUN	31	obj
34	a	ADP	36	case
35	los	DET	36	det
36	familiares	NOUN	31	obj
37	de	ADP	39	case
38	las	DET	39	det
39	víctimas	NOUN	36	nmod
40	.	PUNCT	15	punct