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 socio pequeño de la coalición electoral PNV-EA es el que está pagando los platos rotos de los magros resultados cosechados por ambos partidos en las urnas el pasado 13 de junio.
Postion	Tokenization
1	El
2	socio
3	pequeño
4	de
5	la
6	coalición
7	electoral
8	PNV-EA
9	es
10	el
11	que
12	está
13	pagando
14	los
15	platos
16	rotos
17	de
18	los
19	magros
20	resultados
21	cosechados
22	por
23	ambos
24	partidos
25	en
26	las
27	urnas
28	el
29	pasado
30	13
31	de
32	junio
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	socio	NOUN	9	nsubj
3	pequeño	ADJ	2	amod
4	de	ADP	6	case
5	la	DET	6	det
6	coalición	NOUN	2	nmod
7	electoral	ADJ	6	amod
8	PNV-EA	PROPN	6	appos
9	es	AUX	0	root
10	el	DET	13	det
11	que	PRON	13	nsubj
12	está	AUX	13	aux
13	pagando	VERB	9	ccomp
14	los	DET	15	det
15	platos	NOUN	13	obj
16	rotos	ADJ	15	amod
17	de	ADP	20	case
18	los	DET	20	det
19	magros	ADJ	20	amod
20	resultados	NOUN	15	nmod
21	cosechados	ADJ	20	amod
22	por	ADP	24	case
23	ambos	NUM	24	nummod
24	partidos	NOUN	21	obj
25	en	ADP	27	case
26	las	DET	27	det
27	urnas	NOUN	21	obl
28	el	DET	30	det
29	pasado	ADJ	30	amod
30	13	NUM	21	obl
31	de	ADP	32	case
32	junio	NOUN	30	compound
33	.	PUNCT	9	punct