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:
I, along with my friends, consider this doctor to be the cause of my death as he is not even trying to save my life by operating.
Postion	Tokenization
1	I
2	,
3	along
4	with
5	my
6	friends
7	,
8	consider
9	this
10	doctor
11	to
12	be
13	the
14	cause
15	of
16	my
17	death
18	as
19	he
20	is
21	not
22	even
23	trying
24	to
25	save
26	my
27	life
28	by
29	operating
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	8	nsubj
2	,	PUNCT	8	punct
3	along	ADP	6	case
4	with	ADP	6	case
5	my	PRON	6	nmod:poss
6	friends	NOUN	8	obl
7	,	PUNCT	8	punct
8	consider	VERB	0	root
9	this	DET	10	det
10	doctor	NOUN	8	obj
11	to	PART	14	mark
12	be	AUX	14	cop
13	the	DET	14	det
14	cause	NOUN	8	xcomp
15	of	ADP	17	case
16	my	PRON	17	nmod:poss
17	death	NOUN	14	nmod
18	as	SCONJ	23	mark
19	he	PRON	23	nsubj
20	is	AUX	23	aux
21	not	PART	23	advmod
22	even	ADV	23	advmod
23	trying	VERB	8	advcl
24	to	PART	25	mark
25	save	VERB	23	xcomp
26	my	PRON	27	nmod:poss
27	life	NOUN	25	obj
28	by	SCONJ	29	mark
29	operating	VERB	25	advcl
30	.	PUNCT	8	punct