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:
Para el doctor Meagher, que durante años había permanecido rígido y aparentemente impasible como una roca, ha sido un milagro.
Postion	Tokenization
1	Para
2	el
3	doctor
4	Meagher
5	,
6	que
7	durante
8	años
9	había
10	permanecido
11	rígido
12	y
13	aparentemente
14	impasible
15	como
16	una
17	roca
18	,
19	ha
20	sido
21	un
22	milagro
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	doctor	NOUN	22	obl
4	Meagher	PROPN	3	appos
5	,	PUNCT	10	punct
6	que	PRON	10	nsubj
7	durante	ADP	8	case
8	años	NOUN	10	obl
9	había	AUX	10	aux
10	permanecido	VERB	3	acl
11	rígido	ADJ	10	obj
12	y	CCONJ	14	cc
13	aparentemente	ADV	14	advmod
14	impasible	ADJ	11	conj
15	como	SCONJ	17	mark
16	una	DET	17	det
17	roca	NOUN	11	nmod
18	,	PUNCT	10	punct
19	ha	AUX	22	aux
20	sido	AUX	22	cop
21	un	DET	22	det
22	milagro	NOUN	0	root
23	.	PUNCT	22	punct