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:
Ellos son los que tendrán que pagar por estos costes adicionales ", comentó el agricultor Charlie Armstrong, quien participa en el bloqueo de la autopista.
Postion	Tokenization
1	Ellos
2	son
3	los
4	que
5	tendrán
6	que
7	pagar
8	por
9	estos
10	costes
11	adicionales
12	"
13	,
14	comentó
15	el
16	agricultor
17	Charlie
18	Armstrong
19	,
20	quien
21	participa
22	en
23	el
24	bloqueo
25	de
26	la
27	autopista
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ellos	PRON	2	nsubj
2	son	AUX	14	ccomp
3	los	DET	7	det
4	que	PRON	7	nsubj
5	tendrán	VERB	2	ccomp
6	que	SCONJ	7	cc
7	pagar	VERB	5	conj
8	por	ADP	10	case
9	estos	DET	10	det
10	costes	NOUN	7	obj
11	adicionales	ADJ	10	amod
12	"	PUNCT	2	punct
13	,	PUNCT	2	punct
14	comentó	VERB	0	root
15	el	DET	16	det
16	agricultor	NOUN	14	nsubj
17	Charlie	PROPN	16	appos
18	Armstrong	PROPN	17	flat
19	,	PUNCT	21	punct
20	quien	PRON	21	nsubj
21	participa	VERB	16	acl
22	en	ADP	24	case
23	el	DET	24	det
24	bloqueo	NOUN	21	obj
25	de	ADP	27	case
26	la	DET	27	det
27	autopista	NOUN	24	nmod
28	.	PUNCT	14	punct