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 equipo rojiblanco cada vez tiene más difícil su permanencia en Primera División, un objetivo que parece imposible de alcanzar para el colista Sevilla y que también se complica para el Betis, ahora tercero por la cola.
Postion	Tokenization
1	El
2	equipo
3	rojiblanco
4	cada
5	vez
6	tiene
7	más
8	difícil
9	su
10	permanencia
11	en
12	Primera
13	División
14	,
15	un
16	objetivo
17	que
18	parece
19	imposible
20	de
21	alcanzar
22	para
23	el
24	colista
25	Sevilla
26	y
27	que
28	también
29	se
30	complica
31	para
32	el
33	Betis
34	,
35	ahora
36	tercero
37	por
38	la
39	cola
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	equipo	NOUN	6	nsubj
3	rojiblanco	ADJ	2	amod
4	cada	DET	5	det
5	vez	NOUN	6	obl
6	tiene	VERB	0	root
7	más	ADV	8	advmod
8	difícil	ADJ	6	obj
9	su	DET	10	det
10	permanencia	NOUN	6	obj
11	en	ADP	12	case
12	Primera	PROPN	10	nmod
13	División	PROPN	12	flat
14	,	PUNCT	16	punct
15	un	DET	16	det
16	objetivo	NOUN	10	appos
17	que	PRON	18	nsubj
18	parece	VERB	16	acl
19	imposible	ADJ	18	xcomp
20	de	ADP	21	mark
21	alcanzar	VERB	19	acl
22	para	ADP	25	case
23	el	DET	25	det
24	colista	ADJ	25	amod
25	Sevilla	PROPN	19	nmod
26	y	CCONJ	30	cc
27	que	PRON	30	nsubj
28	también	ADV	30	advmod
29	se	PRON	30	expl:pv
30	complica	VERB	19	conj
31	para	ADP	33	case
32	el	DET	33	det
33	Betis	PROPN	30	obl
34	,	PUNCT	36	punct
35	ahora	ADV	36	advmod
36	tercero	ADJ	33	amod
37	por	ADP	39	case
38	la	DET	39	det
39	cola	NOUN	36	nmod
40	.	PUNCT	6	punct