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:
En lo que concierne al ámbito estrictamente deportivo, la prensa británica subraya el carácter histórico del triunfo de los hombres de Kevin Keegan al derrotar a los alemanes por primera vez en 34 años.
Postion	Tokenization
1	En
2	lo
3	que
4	concierne
5	al
6	ámbito
7	estrictamente
8	deportivo
9	,
10	la
11	prensa
12	británica
13	subraya
14	el
15	carácter
16	histórico
17	del
18	triunfo
19	de
20	los
21	hombres
22	de
23	Kevin
24	Keegan
25	al
26	derrotar
27	a
28	los
29	alemanes
30	por
31	primera
32	vez
33	en
34	34
35	años
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	mark
2	lo	PRON	4	det
3	que	PRON	4	nsubj
4	concierne	VERB	13	advcl
5	al	ADP	6	case
6	ámbito	NOUN	4	obj
7	estrictamente	ADV	8	advmod
8	deportivo	ADJ	6	amod
9	,	PUNCT	4	punct
10	la	DET	11	det
11	prensa	NOUN	13	nsubj
12	británica	ADJ	11	amod
13	subraya	VERB	0	root
14	el	DET	15	det
15	carácter	NOUN	13	obj
16	histórico	ADJ	15	amod
17	del	ADP	18	case
18	triunfo	NOUN	15	nmod
19	de	ADP	21	case
20	los	DET	21	det
21	hombres	NOUN	18	nmod
22	de	ADP	23	case
23	Kevin	PROPN	21	nmod
24	Keegan	PROPN	23	flat
25	al	ADP	26	mark
26	derrotar	VERB	13	advcl
27	a	ADP	29	case
28	los	DET	29	det
29	alemanes	NOUN	26	obj
30	por	ADP	32	case
31	primera	ADJ	32	amod
32	vez	NOUN	26	obl
33	en	ADP	35	case
34	34	NUM	35	nummod
35	años	NOUN	32	nmod
36	.	PUNCT	13	punct