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 infierno del Atlético en Segunda División es especialmente duro para Kiko, precisamente el jugador que prestó su imagen a la campaña publicitaria con la que el club madrileño buscó el respaldo de su afición.
Postion	Tokenization
1	El
2	infierno
3	del
4	Atlético
5	en
6	Segunda
7	División
8	es
9	especialmente
10	duro
11	para
12	Kiko
13	,
14	precisamente
15	el
16	jugador
17	que
18	prestó
19	su
20	imagen
21	a
22	la
23	campaña
24	publicitaria
25	con
26	la
27	que
28	el
29	club
30	madrileño
31	buscó
32	el
33	respaldo
34	de
35	su
36	afición
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	infierno	NOUN	10	nsubj
3	del	ADP	4	case
4	Atlético	PROPN	2	nmod
5	en	ADP	6	case
6	Segunda	PROPN	2	nmod
7	División	PROPN	6	flat
8	es	AUX	10	cop
9	especialmente	ADV	10	advmod
10	duro	ADJ	0	root
11	para	ADP	12	case
12	Kiko	PROPN	10	obj
13	,	PUNCT	16	punct
14	precisamente	ADV	16	advmod
15	el	DET	16	det
16	jugador	NOUN	12	appos
17	que	PRON	18	nsubj
18	prestó	VERB	16	acl
19	su	DET	20	det
20	imagen	NOUN	18	obj
21	a	ADP	23	case
22	la	DET	23	det
23	campaña	NOUN	18	obj
24	publicitaria	ADJ	23	amod
25	con	ADP	27	case
26	la	DET	27	det
27	que	PRON	31	obl
28	el	DET	29	det
29	club	NOUN	31	nsubj
30	madrileño	ADJ	29	amod
31	buscó	VERB	23	acl
32	el	DET	33	det
33	respaldo	NOUN	31	obj
34	de	ADP	36	case
35	su	DET	36	det
36	afición	NOUN	33	nmod
37	.	PUNCT	10	punct