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 alcalde tiene pendiente un cuarto encuentro con el ministro de Fomento, Francisco Alvarez-Cascos, para tratar del futuro de las infraestructuras pendientes de Barcelona.
Postion	Tokenization
1	El
2	alcalde
3	tiene
4	pendiente
5	un
6	cuarto
7	encuentro
8	con
9	el
10	ministro
11	de
12	Fomento
13	,
14	Francisco
15	Alvarez-Cascos
16	,
17	para
18	tratar
19	del
20	futuro
21	de
22	las
23	infraestructuras
24	pendientes
25	de
26	Barcelona
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	alcalde	NOUN	3	nsubj
3	tiene	VERB	0	root
4	pendiente	ADJ	3	obj
5	un	DET	7	det
6	cuarto	ADJ	7	amod
7	encuentro	NOUN	3	obj
8	con	ADP	10	case
9	el	DET	10	det
10	ministro	NOUN	7	nmod
11	de	ADP	12	case
12	Fomento	PROPN	10	nmod
13	,	PUNCT	14	punct
14	Francisco	PROPN	10	appos
15	Alvarez-Cascos	PROPN	14	flat
16	,	PUNCT	14	punct
17	para	ADP	18	mark
18	tratar	VERB	7	acl
19	del	ADP	20	case
20	futuro	NOUN	18	obj
21	de	ADP	23	case
22	las	DET	23	det
23	infraestructuras	NOUN	20	nmod
24	pendientes	ADJ	23	amod
25	de	ADP	26	case
26	Barcelona	PROPN	23	nmod
27	.	PUNCT	3	punct