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 primer ministro británico, Tony Blair, reprochó las declaraciones del técnico inglés y se mostró partidario de que abandonara el cargo.
Postion	Tokenization
1	El
2	primer
3	ministro
4	británico
5	,
6	Tony
7	Blair
8	,
9	reprochó
10	las
11	declaraciones
12	del
13	técnico
14	inglés
15	y
16	se
17	mostró
18	partidario
19	de
20	que
21	abandonara
22	el
23	cargo
24	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	ministro	NOUN	9	nsubj
4	británico	ADJ	3	amod
5	,	PUNCT	6	punct
6	Tony	PROPN	3	appos
7	Blair	PROPN	6	flat
8	,	PUNCT	6	punct
9	reprochó	VERB	0	root
10	las	DET	11	det
11	declaraciones	NOUN	9	obj
12	del	ADP	13	case
13	técnico	NOUN	11	nmod
14	inglés	ADJ	13	amod
15	y	CCONJ	17	cc
16	se	PRON	17	expl:pv
17	mostró	VERB	9	conj
18	partidario	ADJ	17	obj
19	de	ADP	21	mark
20	que	SCONJ	21	mark
21	abandonara	VERB	18	acl
22	el	DET	23	det
23	cargo	NOUN	21	obj
24	.	PUNCT	9	punct