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:
A un mes de las elecciones, las dudas sobre quien las ganará no han sido despejadas, lo que en parte obedece a que algunos medios y los mismos partidos falsean los sondeos de opinión.
Postion	Tokenization
1	A
2	un
3	mes
4	de
5	las
6	elecciones
7	,
8	las
9	dudas
10	sobre
11	quien
12	las
13	ganará
14	no
15	han
16	sido
17	despejadas
18	,
19	lo
20	que
21	en
22	parte
23	obedece
24	a
25	que
26	algunos
27	medios
28	y
29	los
30	mismos
31	partidos
32	falsean
33	los
34	sondeos
35	de
36	opinión
37	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	un	DET	3	det
3	mes	NOUN	17	obl
4	de	ADP	6	case
5	las	DET	6	det
6	elecciones	NOUN	3	nmod
7	,	PUNCT	3	punct
8	las	DET	9	det
9	dudas	NOUN	17	nsubj
10	sobre	ADP	13	mark
11	quien	PRON	13	nsubj
12	las	PRON	13	obj
13	ganará	VERB	9	acl
14	no	ADV	17	advmod
15	han	AUX	17	aux
16	sido	AUX	17	aux
17	despejadas	VERB	0	root
18	,	PUNCT	23	punct
19	lo	PRON	23	det
20	que	PRON	23	nsubj
21	en	ADP	23	advmod
22	parte	NOUN	21	fixed
23	obedece	VERB	17	advcl
24	a	ADP	32	mark
25	que	SCONJ	32	mark
26	algunos	DET	27	det
27	medios	NOUN	32	nsubj
28	y	CCONJ	31	cc
29	los	DET	31	det
30	mismos	DET	29	det
31	partidos	NOUN	27	conj
32	falsean	VERB	23	ccomp
33	los	DET	34	det
34	sondeos	NOUN	32	obj
35	de	ADP	36	case
36	opinión	NOUN	34	nmod
37	.	PUNCT	17	punct