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:
Por ello, algunos analistas, aunque no dudan de nuevas alzas de tipos, creen que estas serán más bien moderadas, y que no afectarán seriamente a la bolsa.
Postion	Tokenization
1	Por
2	ello
3	,
4	algunos
5	analistas
6	,
7	aunque
8	no
9	dudan
10	de
11	nuevas
12	alzas
13	de
14	tipos
15	,
16	creen
17	que
18	estas
19	serán
20	más
21	bien
22	moderadas
23	,
24	y
25	que
26	no
27	afectarán
28	seriamente
29	a
30	la
31	bolsa
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	2	case
2	ello	PRON	16	obl
3	,	PUNCT	2	punct
4	algunos	DET	5	det
5	analistas	NOUN	16	nsubj
6	,	PUNCT	9	punct
7	aunque	SCONJ	9	mark
8	no	ADV	9	advmod
9	dudan	VERB	5	acl
10	de	ADP	12	case
11	nuevas	ADJ	12	amod
12	alzas	NOUN	9	obj
13	de	ADP	14	case
14	tipos	NOUN	12	nmod
15	,	PUNCT	9	punct
16	creen	VERB	0	root
17	que	SCONJ	22	mark
18	estas	PRON	22	nsubj
19	serán	AUX	22	cop
20	más	ADV	22	advmod
21	bien	ADV	20	fixed
22	moderadas	ADJ	16	ccomp
23	,	PUNCT	27	punct
24	y	CCONJ	27	cc
25	que	SCONJ	27	mark
26	no	ADV	27	advmod
27	afectarán	VERB	22	conj
28	seriamente	ADV	27	advmod
29	a	ADP	31	case
30	la	DET	31	det
31	bolsa	NOUN	27	obj
32	.	PUNCT	16	punct