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:
España es uno de los países con menor número de servicios de apoyo a la familia y con menor gasto social de apoyo a tal institución.
Postion	Tokenization
1	España
2	es
3	uno
4	de
5	los
6	países
7	con
8	menor
9	número
10	de
11	servicios
12	de
13	apoyo
14	a
15	la
16	familia
17	y
18	con
19	menor
20	gasto
21	social
22	de
23	apoyo
24	a
25	tal
26	institución
27	.
Position	Tokenization	UPOS	Head	Deprel
1	España	PROPN	3	nsubj
2	es	AUX	3	cop
3	uno	PRON	0	root
4	de	ADP	6	case
5	los	DET	6	det
6	países	NOUN	3	nmod
7	con	ADP	9	case
8	menor	ADJ	9	amod
9	número	NOUN	6	nmod
10	de	ADP	11	case
11	servicios	NOUN	9	nmod
12	de	ADP	13	case
13	apoyo	NOUN	11	nmod
14	a	ADP	16	case
15	la	DET	16	det
16	familia	NOUN	13	nmod
17	y	CCONJ	20	cc
18	con	ADP	20	case
19	menor	ADJ	20	amod
20	gasto	NOUN	9	conj
21	social	ADJ	20	amod
22	de	ADP	23	case
23	apoyo	NOUN	20	nmod
24	a	ADP	26	case
25	tal	DET	26	det
26	institución	NOUN	23	nmod
27	.	PUNCT	3	punct