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:
El expreso de la compañía GNER había salido de Newcastle a las 4.45 de la madrugada con destino a la estación de Charing Cross, en Londres, donde tenía prevista la llegada a las ocho de la mañana.
Postion	Tokenization
1	El
2	expreso
3	de
4	la
5	compañía
6	GNER
7	había
8	salido
9	de
10	Newcastle
11	a
12	las
13	4.45
14	de
15	la
16	madrugada
17	con
18	destino
19	a
20	la
21	estación
22	de
23	Charing
24	Cross
25	,
26	en
27	Londres
28	,
29	donde
30	tenía
31	prevista
32	la
33	llegada
34	a
35	las
36	ocho
37	de
38	la
39	mañana
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	expreso	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	compañía	NOUN	2	nmod
6	GNER	PROPN	5	appos
7	había	AUX	8	aux
8	salido	VERB	0	root
9	de	ADP	10	case
10	Newcastle	PROPN	8	obl
11	a	ADP	13	case
12	las	DET	13	det
13	4.45	NOUN	8	obl
14	de	ADP	16	case
15	la	DET	16	det
16	madrugada	NOUN	13	nmod
17	con	ADP	18	case
18	destino	NOUN	8	obl
19	a	ADP	21	case
20	la	DET	21	det
21	estación	NOUN	18	nmod
22	de	ADP	23	case
23	Charing	PROPN	21	nmod
24	Cross	PROPN	23	flat
25	,	PUNCT	27	punct
26	en	ADP	27	case
27	Londres	PROPN	21	nmod
28	,	PUNCT	27	punct
29	donde	PRON	30	obl
30	tenía	VERB	21	acl
31	prevista	ADJ	30	obj
32	la	DET	33	det
33	llegada	NOUN	30	obj
34	a	ADP	36	case
35	las	DET	36	det
36	ocho	NOUN	30	obl
37	de	ADP	39	case
38	la	DET	39	det
39	mañana	NOUN	36	nmod
40	.	PUNCT	8	punct