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:
Encima de las fotografías ampliadas de las cuatro caras, Cuixart dibujó unos grafismos en tinta china que potenciaban el mensaje vanguardista de la publicación.
Postion	Tokenization
1	Encima
2	de
3	las
4	fotografías
5	ampliadas
6	de
7	las
8	cuatro
9	caras
10	,
11	Cuixart
12	dibujó
13	unos
14	grafismos
15	en
16	tinta
17	china
18	que
19	potenciaban
20	el
21	mensaje
22	vanguardista
23	de
24	la
25	publicación
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Encima	ADV	12	advmod
2	de	ADP	4	case
3	las	DET	4	det
4	fotografías	NOUN	1	obl
5	ampliadas	ADJ	4	amod
6	de	ADP	9	case
7	las	DET	9	det
8	cuatro	NUM	7	nummod
9	caras	NOUN	4	nmod
10	,	PUNCT	1	punct
11	Cuixart	PROPN	12	nsubj
12	dibujó	VERB	0	root
13	unos	DET	14	det
14	grafismos	NOUN	12	obj
15	en	ADP	16	case
16	tinta	NOUN	14	nmod
17	china	ADJ	16	amod
18	que	PRON	19	nsubj
19	potenciaban	VERB	14	acl
20	el	DET	21	det
21	mensaje	NOUN	19	obj
22	vanguardista	ADJ	21	amod
23	de	ADP	25	case
24	la	DET	25	det
25	publicación	NOUN	21	nmod
26	.	PUNCT	12	punct