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:
Como escribió Gilbert Murray en su tiempo, ahora también a nosotros nuestra democracia nos parece tan firme y tan segura y, sobre todo, tan satisfecha que nos divertimos echándole piedras.
Postion	Tokenization
1	Como
2	escribió
3	Gilbert
4	Murray
5	en
6	su
7	tiempo
8	,
9	ahora
10	también
11	a
12	nosotros
13	nuestra
14	democracia
15	nos
16	parece
17	tan
18	firme
19	y
20	tan
21	segura
22	y
23	,
24	sobre
25	todo
26	,
27	tan
28	satisfecha
29	que
30	nos
31	divertimos
32	echándole
33	echando
34	le
35	piedras
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	escribió	VERB	18	advcl
3	Gilbert	PROPN	2	nsubj
4	Murray	PROPN	3	flat
5	en	ADP	7	case
6	su	DET	7	det
7	tiempo	NOUN	2	obl
8	,	PUNCT	2	punct
9	ahora	ADV	16	advmod
10	también	ADV	16	obj
11	a	ADP	10	case
12	nosotros	PRON	10	nmod
13	nuestra	DET	14	det
14	democracia	NOUN	16	nsubj
15	nos	PRON	16	iobj
16	parece	VERB	0	root
17	tan	ADV	16	advmod
18	firme	ADJ	16	xcomp
19	y	CCONJ	21	cc
20	tan	ADV	21	advmod
21	segura	ADJ	18	conj
22	y	CCONJ	28	cc
23	,	PUNCT	24	punct
24	sobre	ADP	28	advmod
25	todo	PRON	24	fixed
26	,	PUNCT	24	punct
27	tan	ADV	28	advmod
28	satisfecha	ADJ	18	conj
29	que	SCONJ	31	mark
30	nos	PRON	31	expl:pv
31	divertimos	VERB	18	advcl
32	echándole	_	None	_
33	echando	VERB	31	advcl
34	le	PRON	32	obj
35	piedras	NOUN	32	obj
36	.	PUNCT	16	punct