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:
No obstante, precisó que si su partido gana las próximas elecciones y lleva esta medida se hablará "con la Federación Nacional de Municipios y Provincias para que en ningún caso sea perjudicial para los ayuntamientos".
Postion	Tokenization
1	No
2	obstante
3	,
4	precisó
5	que
6	si
7	su
8	partido
9	gana
10	las
11	próximas
12	elecciones
13	y
14	lleva
15	esta
16	medida
17	se
18	hablará
19	"
20	con
21	la
22	Federación
23	Nacional
24	de
25	Municipios
26	y
27	Provincias
28	para
29	que
30	en
31	ningún
32	caso
33	sea
34	perjudicial
35	para
36	los
37	ayuntamientos
38	"
39	.
Position	Tokenization	UPOS	Head	Deprel
1	No	PART	4	advmod
2	obstante	NOUN	1	fixed
3	,	PUNCT	1	punct
4	precisó	VERB	0	root
5	que	SCONJ	18	mark
6	si	SCONJ	9	mark
7	su	DET	8	det
8	partido	NOUN	9	nsubj
9	gana	VERB	18	advcl
10	las	DET	12	det
11	próximas	ADJ	12	amod
12	elecciones	NOUN	9	obj
13	y	CCONJ	14	cc
14	lleva	VERB	9	conj
15	esta	DET	16	det
16	medida	NOUN	14	obj
17	se	PRON	18	expl:impers
18	hablará	VERB	4	ccomp
19	"	PUNCT	18	punct
20	con	ADP	22	case
21	la	DET	22	det
22	Federación	PROPN	18	obl
23	Nacional	PROPN	22	flat
24	de	ADP	25	case
25	Municipios	PROPN	22	flat
26	y	CCONJ	27	cc
27	Provincias	PROPN	22	conj
28	para	ADP	34	mark
29	que	SCONJ	34	mark
30	en	ADP	32	case
31	ningún	DET	32	det
32	caso	NOUN	34	obl
33	sea	AUX	34	cop
34	perjudicial	ADJ	18	advcl
35	para	ADP	37	case
36	los	DET	37	det
37	ayuntamientos	NOUN	34	nmod
38	"	PUNCT	18	punct
39	.	PUNCT	4	punct