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:
Desde esa expulsión, el Numancia atacó menos por las bandas, ya que Iñaki Hurtado y Manel tuvieron que preocuparse más de labores defensivas.
Postion	Tokenization
1	Desde
2	esa
3	expulsión
4	,
5	el
6	Numancia
7	atacó
8	menos
9	por
10	las
11	bandas
12	,
13	ya
14	que
15	Iñaki
16	Hurtado
17	y
18	Manel
19	tuvieron
20	que
21	preocuparse
22	preocupar
23	se
24	más
25	de
26	labores
27	defensivas
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	esa	DET	3	det
3	expulsión	NOUN	7	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	Numancia	PROPN	7	nsubj
7	atacó	VERB	0	root
8	menos	ADV	7	advmod
9	por	ADP	11	case
10	las	DET	11	det
11	bandas	NOUN	7	obl
12	,	PUNCT	19	punct
13	ya	ADV	21	mark
14	que	SCONJ	13	fixed
15	Iñaki	PROPN	21	nsubj
16	Hurtado	PROPN	15	flat
17	y	CCONJ	18	cc
18	Manel	PROPN	15	conj
19	tuvieron	VERB	7	advcl
20	que	SCONJ	21	cc
21	preocuparse	_	None	_
22	preocupar	VERB	19	conj
23	se	PRON	21	expl:pv
24	más	ADV	21	advmod
25	de	ADP	25	case
26	labores	NOUN	21	obl
27	defensivas	ADJ	25	amod
28	.	PUNCT	7	punct