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:
La otra novedad provendrá de la ausencia en el once inicial del vitoriano Pablo Gómez, cuyo puesto en el centro del campo será cubierto, con toda probabilidad, por Angel Morales.
Postion	Tokenization
1	La
2	otra
3	novedad
4	provendrá
5	de
6	la
7	ausencia
8	en
9	el
10	once
11	inicial
12	del
13	vitoriano
14	Pablo
15	Gómez
16	,
17	cuyo
18	puesto
19	en
20	el
21	centro
22	del
23	campo
24	será
25	cubierto
26	,
27	con
28	toda
29	probabilidad
30	,
31	por
32	Angel
33	Morales
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	otra	DET	1	det
3	novedad	NOUN	4	nsubj
4	provendrá	VERB	0	root
5	de	ADP	7	case
6	la	DET	7	det
7	ausencia	NOUN	4	obl
8	en	ADP	10	case
9	el	DET	10	det
10	once	NUM	7	nummod
11	inicial	ADJ	10	amod
12	del	ADP	13	case
13	vitoriano	NOUN	7	nmod
14	Pablo	PROPN	13	appos
15	Gómez	PROPN	14	flat
16	,	PUNCT	25	punct
17	cuyo	PRON	18	nmod
18	puesto	NOUN	25	nsubj
19	en	ADP	21	case
20	el	DET	21	det
21	centro	NOUN	18	nmod
22	del	ADP	23	case
23	campo	NOUN	21	nmod
24	será	AUX	25	aux
25	cubierto	VERB	13	acl
26	,	PUNCT	29	punct
27	con	ADP	29	case
28	toda	DET	29	det
29	probabilidad	NOUN	25	obl
30	,	PUNCT	29	punct
31	por	ADP	32	case
32	Angel	PROPN	25	obj
33	Morales	PROPN	32	flat
34	.	PUNCT	4	punct